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| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# Climatology Benchmark with Dask Array Expressions\n", | |
| "\n", | |
| "Tests dask array expression support with real ERA5 climate data (~18GB).\n", | |
| "\n", | |
| "**Setup**: First cell downloads data locally (one time).\n", | |
| "\n", | |
| "**Structure:**\n", | |
| "1. Working Workflow - operations that work today\n", | |
| "2. Aspirational Workflow - full climatology (documents gaps to fix)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Dask: /Users/mrocklin/workspace/dask/dask/__init__.py\n", | |
| "Expressions: True\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "import sys\n", | |
| "sys.path.insert(0, '../dask')\n", | |
| "\n", | |
| "import dask\n", | |
| "dask.config.set({'array.query-planning': True})\n", | |
| "\n", | |
| "import xarray as xr\n", | |
| "import time\n", | |
| "from pathlib import Path\n", | |
| "\n", | |
| "print(f\"Dask: {dask.__file__}\")\n", | |
| "print(f\"Expressions: {dask.config.get('array.query-planning')}\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Using cached data: era5_local/era5_sst_3yr.zarr\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# Data locations\n", | |
| "LOCAL_ZARR = Path(\"era5_local/era5_sst_3yr.zarr\")\n", | |
| "GCS_ZARR = \"gs://weatherbench2/datasets/era5/1959-2023_01_10-wb13-6h-1440x721.zarr\"\n", | |
| "TIME_RANGE = slice(\"2020-01-01\", \"2022-12-31\")\n", | |
| "\n", | |
| "# Download locally if needed (~18GB, few minutes first time)\n", | |
| "if not LOCAL_ZARR.exists():\n", | |
| " print(\"Downloading ERA5 data (~18GB, one time)...\")\n", | |
| " LOCAL_ZARR.parent.mkdir(exist_ok=True)\n", | |
| " ds = xr.open_zarr(GCS_ZARR)[[\"sea_surface_temperature\"]].sel(time=TIME_RANGE)\n", | |
| " ds.chunk({\"time\": 100}).to_zarr(LOCAL_ZARR, zarr_format=2)\n", | |
| " print(\"Done!\")\n", | |
| "else:\n", | |
| " print(f\"Using cached data: {LOCAL_ZARR}\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Data: (4384, 721, 1440), 18.2 GB\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# Load data\n", | |
| "ds = xr.open_zarr(LOCAL_ZARR)\n", | |
| "arr = ds[\"sea_surface_temperature\"]\n", | |
| "print(f\"Data: {arr.shape}, {arr.nbytes / 1e9:.1f} GB\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
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| " --jp-content-font-color2,\n", | |
| " var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n", | |
| " );\n", | |
| " --xr-font-color3: var(\n", | |
| " --jp-content-font-color3,\n", | |
| " var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n", | |
| " );\n", | |
| " --xr-border-color: var(\n", | |
| " --jp-border-color2,\n", | |
| " hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n", | |
| " );\n", | |
| " --xr-disabled-color: var(\n", | |
| " --jp-layout-color3,\n", | |
| " hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n", | |
| " );\n", | |
| " --xr-background-color: var(\n", | |
| " --jp-layout-color0,\n", | |
| " var(--pst-color-on-background, white)\n", | |
| " );\n", | |
| " --xr-background-color-row-even: var(\n", | |
| " --jp-layout-color1,\n", | |
| " hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n", | |
| " );\n", | |
| " --xr-background-color-row-odd: var(\n", | |
| " --jp-layout-color2,\n", | |
| " hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n", | |
| " );\n", | |
| "}\n", | |
| "\n", | |
| "html[theme=\"dark\"],\n", | |
| "html[data-theme=\"dark\"],\n", | |
| "body[data-theme=\"dark\"],\n", | |
| "body.vscode-dark {\n", | |
| " --xr-font-color0: var(\n", | |
| " --jp-content-font-color0,\n", | |
| " var(--pst-color-text-base, rgba(255, 255, 255, 1))\n", | |
| " );\n", | |
| " --xr-font-color2: var(\n", | |
| " --jp-content-font-color2,\n", | |
| " var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n", | |
| " );\n", | |
| " --xr-font-color3: var(\n", | |
| " --jp-content-font-color3,\n", | |
| " var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n", | |
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| "}\n", | |
| "\n", | |
| ".xr-header > div,\n", | |
| ".xr-header > ul {\n", | |
| " display: inline;\n", | |
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| " content: \"📁\";\n", | |
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| "}\n", | |
| "\n", | |
| ".xr-section-item {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input {\n", | |
| " display: inline-block;\n", | |
| " opacity: 0;\n", | |
| " height: 0;\n", | |
| " margin: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input + label {\n", | |
| " color: var(--xr-disabled-color);\n", | |
| " border: 2px solid transparent !important;\n", | |
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| ".xr-var-data > pre,\n", | |
| ".xr-index-data > pre,\n", | |
| ".xr-var-data > table > tbody > tr {\n", | |
| " background-color: transparent !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name span,\n", | |
| ".xr-var-data,\n", | |
| ".xr-index-name div,\n", | |
| ".xr-index-data,\n", | |
| ".xr-attrs {\n", | |
| " padding-left: 25px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs,\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data,\n", | |
| ".xr-index-data {\n", | |
| " grid-column: 1 / -1;\n", | |
| "}\n", | |
| "\n", | |
| "dl.xr-attrs {\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 125px auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt,\n", | |
| ".xr-attrs dd {\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| " float: left;\n", | |
| " padding-right: 10px;\n", | |
| " width: auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt {\n", | |
| " font-weight: normal;\n", | |
| " grid-column: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt:hover span {\n", | |
| " display: inline-block;\n", | |
| " background: var(--xr-background-color);\n", | |
| " padding-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dd {\n", | |
| " grid-column: 2;\n", | |
| " white-space: pre-wrap;\n", | |
| " word-break: break-all;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-icon-database,\n", | |
| ".xr-icon-file-text2,\n", | |
| ".xr-no-icon {\n", | |
| " display: inline-block;\n", | |
| " vertical-align: middle;\n", | |
| " width: 1em;\n", | |
| " height: 1.5em !important;\n", | |
| " stroke-width: 0;\n", | |
| " stroke: currentColor;\n", | |
| " fill: currentColor;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n", | |
| ".xr-var-data-in:checked + label > .xr-icon-database,\n", | |
| ".xr-index-data-in:checked + label > .xr-icon-database {\n", | |
| " color: var(--xr-font-color0);\n", | |
| " filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n", | |
| " stroke-width: 0.8px;\n", | |
| "}\n", | |
| "</style><pre class='xr-text-repr-fallback'><xarray.Dataset> Size: 18GB\n", | |
| "Dimensions: (time: 4384, latitude: 721, longitude: 1440)\n", | |
| "Coordinates:\n", | |
| " * time (time) datetime64[ns] 35kB 2020-01-01 ... 2022-1...\n", | |
| " * latitude (latitude) float32 3kB 90.0 89.75 ... -89.75 -90.0\n", | |
| " * longitude (longitude) float32 6kB 0.0 0.25 ... 359.5 359.8\n", | |
| "Data variables:\n", | |
| " sea_surface_temperature (time, latitude, longitude) float32 18GB dask.array<chunksize=(1, 721, 1440), meta=np.ndarray></pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-d94bdef0-f266-410b-ab9d-e803f148cc20' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d94bdef0-f266-410b-ab9d-e803f148cc20' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 4384</li><li><span class='xr-has-index'>latitude</span>: 721</li><li><span class='xr-has-index'>longitude</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ca339b9f-d876-4b25-bb75-4ce2b83b719b' class='xr-section-summary-in' type='checkbox' checked><label for='section-ca339b9f-d876-4b25-bb75-4ce2b83b719b' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-01-01 ... 2022-12-31T18:00:00</div><input id='attrs-68ae6c5f-6980-41db-ba26-f7127cabb1ea' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-68ae6c5f-6980-41db-ba26-f7127cabb1ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51ee4018-8050-4902-8fd0-fc67d918db22' class='xr-var-data-in' type='checkbox'><label for='data-51ee4018-8050-4902-8fd0-fc67d918db22' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(['2020-01-01T00:00:00.000000000', '2020-01-01T06:00:00.000000000',\n", | |
| " '2020-01-01T12:00:00.000000000', ..., '2022-12-31T06:00:00.000000000',\n", | |
| " '2022-12-31T12:00:00.000000000', '2022-12-31T18:00:00.000000000'],\n", | |
| " shape=(4384,), dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>90.0 89.75 89.5 ... -89.75 -90.0</div><input id='attrs-c1fcaa1c-6670-4729-aa8b-21fbc4c8988b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c1fcaa1c-6670-4729-aa8b-21fbc4c8988b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41987de0-e27a-4b48-bc8b-ea3b9e6063f5' class='xr-var-data-in' type='checkbox'><label for='data-41987de0-e27a-4b48-bc8b-ea3b9e6063f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ],\n", | |
| " shape=(721,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.25 0.5 ... 359.2 359.5 359.8</div><input id='attrs-905f79a0-23cb-4abf-97a4-9d2c1d589fe5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-905f79a0-23cb-4abf-97a4-9d2c1d589fe5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a97ce1a-0841-46f5-9af2-f3db7db2ec0b' class='xr-var-data-in' type='checkbox'><label for='data-4a97ce1a-0841-46f5-9af2-f3db7db2ec0b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02,\n", | |
| " 3.5975e+02], shape=(1440,), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fcaca958-8c2d-4672-8ab8-0cd5acb9d667' class='xr-section-summary-in' type='checkbox' checked><label for='section-fcaca958-8c2d-4672-8ab8-0cd5acb9d667' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>sea_surface_temperature</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 721, 1440), meta=np.ndarray></div><input id='attrs-e70b77b6-4950-4f78-a55b-f64acf3ca6a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e70b77b6-4950-4f78-a55b-f64acf3ca6a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-efee0588-8326-4d19-860c-ca8d5f2a6dc9' class='xr-var-data-in' type='checkbox'><label for='data-efee0588-8326-4d19-860c-ca8d5f2a6dc9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sea surface temperature</dd><dt><span>short_name :</span></dt><dd>sst</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table style=\"border-collapse: collapse;\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 16.96 GiB </td>\n", | |
| " <td> 3.96 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (4384, 721, 1440) </td>\n", | |
| " <td> (1, 721, 1440) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
| " <td colspan=\"2\"> 4384 chunks in 1 expression </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Data type </th>\n", | |
| " <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
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| ], | |
| "text/plain": [ | |
| "<xarray.Dataset> Size: 18GB\n", | |
| "Dimensions: (time: 4384, latitude: 721, longitude: 1440)\n", | |
| "Coordinates:\n", | |
| " * time (time) datetime64[ns] 35kB 2020-01-01 ... 2022-1...\n", | |
| " * latitude (latitude) float32 3kB 90.0 89.75 ... -89.75 -90.0\n", | |
| " * longitude (longitude) float32 6kB 0.0 0.25 ... 359.5 359.8\n", | |
| "Data variables:\n", | |
| " sea_surface_temperature (time, latitude, longitude) float32 18GB dask.array<chunksize=(1, 721, 1440), meta=np.ndarray>" | |
| ] | |
| }, | |
| "execution_count": 4, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "ds" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "---\n", | |
| "# Part 1: Working Workflow\n", | |
| "\n", | |
| "Rolling mean + anomaly detection - works with expressions today." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Region: (4384, 121, 281)\n", | |
| "Result shape: (4384, 121, 281)\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# Workflow: 30-day rolling mean, compute anomaly, focus on region\n", | |
| "# Note: Select region first for better performance and to avoid broadcast issues\n", | |
| "\n", | |
| "# North Atlantic subset first\n", | |
| "region = arr.sel(latitude=slice(60, 30), longitude=slice(280, 350))\n", | |
| "region_chunked = region.chunk({\"time\": 500})\n", | |
| "print(f\"Region: {region_chunked.shape}\")\n", | |
| "\n", | |
| "smoothed = region_chunked.rolling(time=30, center=True).mean()\n", | |
| "temporal_mean = smoothed.mean(dim=\"time\")\n", | |
| "result = smoothed - temporal_mean\n", | |
| "print(f\"Result shape: {result.shape}\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Nodes: 7\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<pre><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> Operation Shape Bytes </span>\n", | |
| " <span style=\"font-weight: bold\">Sub</span> 4384×121×281 569 MiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">├ </span><span style=\"font-weight: bold\">Getitem</span> 4384×121×281 569 MiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Map</span> 4400×121×281 571 MiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">└ </span><span style=\"font-weight: bold\">Expand</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1×121×281 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">133 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"font-weight: bold\">Getitem</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">121×281 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">133 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Mean Agg</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">121×281 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">133 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Mean Chunk</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">10×121×281 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.3 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"font-weight: bold\">Getitem</span> 4384×121×281 569 MiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Map</span> 4400×121×281 571 MiB \n", | |
| "</pre>" | |
| ], | |
| "text/plain": [ | |
| "\u001b[2m \u001b[0m\u001b[2mOperation \u001b[0m\u001b[2m \u001b[0m\u001b[2mShape \u001b[0m\u001b[2m \u001b[0m\u001b[2m Bytes\u001b[0m\u001b[2m \u001b[0m\n", | |
| " \u001b[1mSub\u001b[0m 4384×121×281 569 MiB \n", | |
| " \u001b[2m├ \u001b[0m\u001b[1mGetitem\u001b[0m 4384×121×281 569 MiB \n", | |
| " \u001b[2m│ └ \u001b[0m\u001b[1;38;2;206;92;0mMap\u001b[0m 4400×121×281 571 MiB \n", | |
| " \u001b[2m└ \u001b[0m\u001b[1mExpand\u001b[0m \u001b[2m1×121×281 \u001b[0m \u001b[2m133 kiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1mGetitem\u001b[0m \u001b[2m121×281 \u001b[0m \u001b[2m133 kiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1;38;2;52;101;164mMean Agg\u001b[0m \u001b[2m121×281 \u001b[0m \u001b[2m133 kiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1;38;2;52;101;164mMean Chunk\u001b[0m \u001b[2m10×121×281 \u001b[0m \u001b[2m1.3 MiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1mGetitem\u001b[0m 4384×121×281 569 MiB \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1;38;2;206;92;0mMap\u001b[0m 4400×121×281 571 MiB" | |
| ] | |
| }, | |
| "execution_count": 6, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "# Expression tree\n", | |
| "expr = result.data.expr\n", | |
| "print(f\"Nodes: {len(list(expr.walk()))}\")\n", | |
| "result.expr" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 7, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<pre><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> Operation Shape Bytes </span>\n", | |
| " <span style=\"font-weight: bold\">Sub</span> 4384×121×281 569 MiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">├ </span><span style=\"font-weight: bold\">Getitem</span> 4384×121×281 569 MiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Map</span> 4398×121×281 570 MiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">└ </span><span style=\"font-weight: bold\">Expand</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1×121×281 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">133 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Mean Agg</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">121×281 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">133 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Mean Chunk</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">10×121×281 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.3 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"font-weight: bold\">Getitem</span> 4384×121×281 569 MiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Map</span> 4398×121×281 570 MiB \n", | |
| "</pre>" | |
| ], | |
| "text/plain": [ | |
| "\u001b[2m \u001b[0m\u001b[2mOperation \u001b[0m\u001b[2m \u001b[0m\u001b[2mShape \u001b[0m\u001b[2m \u001b[0m\u001b[2m Bytes\u001b[0m\u001b[2m \u001b[0m\n", | |
| " \u001b[1mSub\u001b[0m 4384×121×281 569 MiB \n", | |
| " \u001b[2m├ \u001b[0m\u001b[1mGetitem\u001b[0m 4384×121×281 569 MiB \n", | |
| " \u001b[2m│ └ \u001b[0m\u001b[1;38;2;206;92;0mMap\u001b[0m 4398×121×281 570 MiB \n", | |
| " \u001b[2m└ \u001b[0m\u001b[1mExpand\u001b[0m \u001b[2m1×121×281 \u001b[0m \u001b[2m133 kiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1;38;2;52;101;164mMean Agg\u001b[0m \u001b[2m121×281 \u001b[0m \u001b[2m133 kiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1;38;2;52;101;164mMean Chunk\u001b[0m \u001b[2m10×121×281 \u001b[0m \u001b[2m1.3 MiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1mGetitem\u001b[0m 4384×121×281 569 MiB \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1;38;2;206;92;0mMap\u001b[0m 4398×121×281 570 MiB" | |
| ] | |
| }, | |
| "execution_count": 7, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "result.expr.simplify()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 8, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Before: 7 -> After: 15 nodes\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<pre><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> Operation Shape Bytes Chunks </span>\n", | |
| " <span style=\"font-weight: bold\">Sub</span> (4384, 121, 281) 569 MiB 486×121×281 \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Getitem</span> (4384, 121, 281) 569 MiB 486×121×281 \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">│ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">FusedBlockwise</span> (4398, 121, 281) 570 MiB 500×121×281 \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">└ </span><span style=\"font-weight: bold\">ExpandDims</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> (1, 121, 281)</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">133 kiB</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 1×121×281</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Mean Agg</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> (121, 281)</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">133 kiB</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 121×281</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"font-weight: bold\">Mean Chunk</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> (10, 121, 281)</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.3 MiB</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 1×121×281</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Getitem</span> (4384, 121, 281) 569 MiB 486×121×281 \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">FusedBlockwise</span> (4398, 121, 281) 570 MiB 500×121×281 \n", | |
| "</pre>" | |
| ], | |
| "text/plain": [ | |
| "\u001b[2m \u001b[0m\u001b[2mOperation \u001b[0m\u001b[2m \u001b[0m\u001b[2m Shape\u001b[0m\u001b[2m \u001b[0m\u001b[2m Bytes\u001b[0m\u001b[2m \u001b[0m\u001b[2m Chunks\u001b[0m\u001b[2m \u001b[0m\n", | |
| " \u001b[1mSub\u001b[0m (4384, 121, 281) 569 MiB 486×121×281 \n", | |
| " \u001b[2m├ \u001b[0m\u001b[1;38;2;52;101;164mGetitem\u001b[0m (4384, 121, 281) 569 MiB 486×121×281 \n", | |
| " \u001b[2m│ └ \u001b[0m\u001b[1;38;2;206;92;0mFusedBlockwise\u001b[0m (4398, 121, 281) 570 MiB 500×121×281 \n", | |
| " \u001b[2m└ \u001b[0m\u001b[1mExpandDims\u001b[0m \u001b[2m (1, 121, 281)\u001b[0m \u001b[2m133 kiB\u001b[0m \u001b[2m 1×121×281\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1;38;2;52;101;164mMean Agg\u001b[0m \u001b[2m (121, 281)\u001b[0m \u001b[2m133 kiB\u001b[0m \u001b[2m 121×281\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1mMean Chunk\u001b[0m \u001b[2m (10, 121, 281)\u001b[0m \u001b[2m1.3 MiB\u001b[0m \u001b[2m 1×121×281\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1;38;2;52;101;164mGetitem\u001b[0m (4384, 121, 281) 569 MiB 486×121×281 \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1;38;2;206;92;0mFusedBlockwise\u001b[0m (4398, 121, 281) 570 MiB 500×121×281" | |
| ] | |
| }, | |
| "execution_count": 8, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "# Optimization\n", | |
| "simplified = expr.simplify()\n", | |
| "lowered = simplified.lower_completely()\n", | |
| "fused = lowered.fuse()\n", | |
| "print(f\"Before: {len(list(expr.walk()))} -> After: {len(list(fused.walk()))} nodes\")\n", | |
| "fused" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 9, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Computed in 3.1s\n", | |
| "Anomaly range: -14.58 to 17.90 K\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# Compute\n", | |
| "start = time.perf_counter()\n", | |
| "computed = result.compute()\n", | |
| "print(f\"Computed in {time.perf_counter() - start:.1f}s\")\n", | |
| "print(f\"Anomaly range: {float(computed.min()):.2f} to {float(computed.max()):.2f} K\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 10, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<pre><span style=\"font-weight: bold\">DatasetExpr</span>\n", | |
| "\n", | |
| "<span style=\"font-style: italic\">sea_surface_temperature </span>\n", | |
| "<span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> Operation Shape Bytes </span>\n", | |
| " <span style=\"font-weight: bold\">Getitem</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">20×20×12 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 19 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">└ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Mean Agg</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×12 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 48 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Mean Combine</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1×12×2×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 95 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Mean Combine</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1×12×4×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">190 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Mean Combine</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1×12×8×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">380 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Mean Combine</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×2×12×16×2</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">3.0 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Mean Chunk</span> 721×1440×3×12×31×4 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"font-weight: bold\">Reshape</span> 721×1440×3×12×31×4 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4464 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"font-weight: bold\">Where</span> 4464×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"font-weight: bold\">Logical Not</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4464×721×1440 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.3 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Or</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4464×721×1440 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.3 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Or</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4464×721×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">3.1 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ ├ </span><span style=\"font-weight: bold\">Eq</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4464×1×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.4 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4464×1×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 35 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"font-weight: bold\">Eq</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1×721×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 721 B</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1×721×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">5.6 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Eq</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1×1×1440 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.4 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1×1×1440 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 11 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"font-weight: bold\">Getitem</span> 4464×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| "\n", | |
| "</pre>" | |
| ], | |
| "text/plain": [ | |
| "\u001b[1mDatasetExpr\u001b[0m\n", | |
| "\n", | |
| "\u001b[3msea_surface_temperature \u001b[0m\n", | |
| "\u001b[2m \u001b[0m\u001b[2mOperation \u001b[0m\u001b[2m \u001b[0m\u001b[2mShape \u001b[0m\u001b[2m \u001b[0m\u001b[2m Bytes\u001b[0m\u001b[2m \u001b[0m\n", | |
| " \u001b[1mGetitem\u001b[0m \u001b[2m20×20×12 \u001b[0m \u001b[2m 19 kiB\u001b[0m \n", | |
| " \u001b[2m└ \u001b[0m\u001b[1;38;2;52;101;164mMean Agg\u001b[0m \u001b[2m721×1440×12 \u001b[0m \u001b[2m 48 MiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1;38;2;52;101;164mMean Combine\u001b[0m \u001b[2m721×1440×1×12×2×1 \u001b[0m \u001b[2m 95 MiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1;38;2;52;101;164mMean Combine\u001b[0m \u001b[2m721×1440×1×12×4×1 \u001b[0m \u001b[2m190 MiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1;38;2;52;101;164mMean Combine\u001b[0m \u001b[2m721×1440×1×12×8×1 \u001b[0m \u001b[2m380 MiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1;38;2;52;101;164mMean Combine\u001b[0m \u001b[2m721×1440×2×12×16×2\u001b[0m \u001b[2m3.0 GiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1;38;2;52;101;164mMean Chunk\u001b[0m 721×1440×3×12×31×4 17 GiB \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1mReshape\u001b[0m 721×1440×3×12×31×4 17 GiB \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4464 17 GiB \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1mWhere\u001b[0m 4464×721×1440 17 GiB \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1mLogical Not\u001b[0m \u001b[2m4464×721×1440 \u001b[0m \u001b[2m4.3 GiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mOr\u001b[0m \u001b[2m4464×721×1440 \u001b[0m \u001b[2m4.3 GiB\u001b[0m \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mOr\u001b[0m \u001b[2m4464×721×1 \u001b[0m \u001b[2m3.1 MiB\u001b[0m \n", | |
| " \u001b[2m │ │ ├ \u001b[0m\u001b[1mEq\u001b[0m \u001b[2m4464×1×1 \u001b[0m \u001b[2m4.4 kiB\u001b[0m \n", | |
| " \u001b[2m │ │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4464×1×1 \u001b[0m \u001b[2m 35 kiB\u001b[0m \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1mEq\u001b[0m \u001b[2m1×721×1 \u001b[0m \u001b[2m 721 B\u001b[0m \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m1×721×1 \u001b[0m \u001b[2m5.6 kiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mEq\u001b[0m \u001b[2m1×1×1440 \u001b[0m \u001b[2m1.4 kiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m1×1×1440 \u001b[0m \u001b[2m 11 kiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1mGetitem\u001b[0m 4464×721×1440 17 GiB \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB" | |
| ] | |
| }, | |
| "execution_count": 10, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "# Second workflow: Monthly climatology via unstack\n", | |
| "working = ds[[\"sea_surface_temperature\"]]\n", | |
| "working[\"year\"] = working.time.dt.year # Include year to avoid duplicates\n", | |
| "working[\"month\"] = working.time.dt.month\n", | |
| "working[\"day\"] = working.time.dt.day\n", | |
| "working[\"hour\"] = working.time.dt.hour\n", | |
| "\n", | |
| "restructured = working.set_index(time=[\"year\", \"month\", \"day\", \"hour\"]).unstack()\n", | |
| "monthly = restructured.mean(dim=[\"year\", \"day\", \"hour\"])\n", | |
| "\n", | |
| "subset = monthly.isel(latitude=slice(300, 320), longitude=slice(500, 520))\n", | |
| "subset.expr" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 11, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<pre><span style=\"font-weight: bold\">DatasetExpr</span>\n", | |
| "\n", | |
| "<span style=\"font-style: italic\">sea_surface_temperature </span>\n", | |
| "<span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> Operation Shape Bytes </span>\n", | |
| " <span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Mean Agg</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">20×20×12 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 19 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">└ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Mean Combine</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">20×20×1×12×2×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 38 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Mean Combine</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">20×20×1×12×4×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 75 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Mean Combine</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">20×20×1×12×8×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">150 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Mean Combine</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">20×20×2×12×16×2</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.2 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Mean Chunk</span> 20×20×3×12×31×4 6.8 MiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"font-weight: bold\">Reshape</span> 20×20×3×12×31×4 6.8 MiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Fused</span> 20×20×4464 6.8 MiB \n", | |
| "\n", | |
| "</pre>" | |
| ], | |
| "text/plain": [ | |
| "\u001b[1mDatasetExpr\u001b[0m\n", | |
| "\n", | |
| "\u001b[3msea_surface_temperature \u001b[0m\n", | |
| "\u001b[2m \u001b[0m\u001b[2mOperation \u001b[0m\u001b[2m \u001b[0m\u001b[2mShape \u001b[0m\u001b[2m \u001b[0m\u001b[2m Bytes\u001b[0m\u001b[2m \u001b[0m\n", | |
| " \u001b[1;38;2;52;101;164mMean Agg\u001b[0m \u001b[2m20×20×12 \u001b[0m \u001b[2m 19 kiB\u001b[0m \n", | |
| " \u001b[2m└ \u001b[0m\u001b[1;38;2;52;101;164mMean Combine\u001b[0m \u001b[2m20×20×1×12×2×1 \u001b[0m \u001b[2m 38 kiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1;38;2;52;101;164mMean Combine\u001b[0m \u001b[2m20×20×1×12×4×1 \u001b[0m \u001b[2m 75 kiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1;38;2;52;101;164mMean Combine\u001b[0m \u001b[2m20×20×1×12×8×1 \u001b[0m \u001b[2m150 kiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1;38;2;52;101;164mMean Combine\u001b[0m \u001b[2m20×20×2×12×16×2\u001b[0m \u001b[2m1.2 MiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1;38;2;52;101;164mMean Chunk\u001b[0m 20×20×3×12×31×4 6.8 MiB \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1mReshape\u001b[0m 20×20×3×12×31×4 6.8 MiB \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1;38;2;206;92;0mFused\u001b[0m 20×20×4464 6.8 MiB" | |
| ] | |
| }, | |
| "execution_count": 11, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "subset.expr.optimize(fuse=True)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 12, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Monthly climatology in 4.5s\n", | |
| "Shape: (20, 20, 12)\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "start = time.perf_counter()\n", | |
| "result = subset.compute()\n", | |
| "print(f\"Monthly climatology in {time.perf_counter() - start:.1f}s\")\n", | |
| "print(f\"Shape: {result['sea_surface_temperature'].shape}\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "---\n", | |
| "# Part 2: Aspirational Workflow\n", | |
| "\n", | |
| "Full 61-day rolling climatology. (this used to not work, but now it does)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 13, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "✓ Unstack: (721, 1440, 3, 366, 4)\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# Step 1: Restructure time ✓\n", | |
| "working = ds[[\"sea_surface_temperature\"]]\n", | |
| "working[\"dayofyear\"] = working.time.dt.dayofyear\n", | |
| "working[\"hour\"] = working.time.dt.hour\n", | |
| "working[\"year\"] = working.time.dt.year\n", | |
| "working = working.set_index(time=[\"year\", \"dayofyear\", \"hour\"]).unstack()\n", | |
| "print(f\"✓ Unstack: {working['sea_surface_temperature'].shape}\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 14, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "✓ Forward fill\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# Step 2: Forward fill ✓\n", | |
| "working = working.ffill(dim=\"dayofyear\", limit=1)\n", | |
| "print(\"✓ Forward fill\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 15, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "✓ Pad: (721, 1440, 3, 426, 4)\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# Step 3: Pad ✓\n", | |
| "window_size = 61\n", | |
| "half_window = window_size // 2\n", | |
| "padded = working.pad(pad_width={\"dayofyear\": half_window}, mode=\"wrap\")\n", | |
| "print(f\"✓ Pad: {padded['sea_surface_temperature'].shape}\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 16, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "✓ Rolling construct: (721, 1440, 3, 426, 4, 61)\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# Step 4: Rolling construct \n", | |
| "rolled = padded.rolling(dayofyear=window_size, center=True).construct(\"window\")\n", | |
| "print(f\"✓ Rolling construct: {rolled['sea_surface_temperature'].shape}\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 17, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<pre><span style=\"font-weight: bold\">DatasetExpr</span>\n", | |
| "\n", | |
| "<span style=\"font-style: italic\">sea_surface_temperature </span>\n", | |
| "<span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> Operation Shape Bytes </span>\n", | |
| " <span style=\"font-weight: bold\">Sliding Window View</span> 721×1440×3×426×4×61 1.2 TiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">└ </span><span style=\"font-weight: bold\">Overlap</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×846×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 39 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"font-weight: bold\">Rechunk</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×486×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 23 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"font-weight: bold\">Rechunk</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×486×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 23 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"font-weight: bold\">Stack</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×486×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 23 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"font-weight: bold\">Broadcast To</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×30×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.4 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">() </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ?</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"font-weight: bold\">Stack</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×426×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 20 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Getitem</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×30×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.4 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Map</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×366×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 17 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Map</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×366×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 17 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Getitem</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×30×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.4 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Map</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×366×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 17 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"font-weight: bold\">Broadcast To</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×30×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.4 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">() </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ?</span> \n", | |
| "\n", | |
| "</pre>" | |
| ], | |
| "text/plain": [ | |
| "\u001b[1mDatasetExpr\u001b[0m\n", | |
| "\n", | |
| "\u001b[3msea_surface_temperature \u001b[0m\n", | |
| "\u001b[2m \u001b[0m\u001b[2mOperation \u001b[0m\u001b[2m \u001b[0m\u001b[2mShape \u001b[0m\u001b[2m \u001b[0m\u001b[2m Bytes\u001b[0m\u001b[2m \u001b[0m\n", | |
| " \u001b[1mSliding Window View\u001b[0m 721×1440×3×426×4×61 1.2 TiB \n", | |
| " \u001b[2m└ \u001b[0m\u001b[1mOverlap\u001b[0m \u001b[2m721×1440×3×846×4 \u001b[0m \u001b[2m 39 GiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1mRechunk\u001b[0m \u001b[2m721×1440×3×486×4 \u001b[0m \u001b[2m 23 GiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1mRechunk\u001b[0m \u001b[2m721×1440×3×486×4 \u001b[0m \u001b[2m 23 GiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1mStack\u001b[0m \u001b[2m721×1440×3×486×4 \u001b[0m \u001b[2m 23 GiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1mBroadcast To\u001b[0m \u001b[2m721×1440×3×30×4 \u001b[0m \u001b[2m1.4 GiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m() \u001b[0m \u001b[2m ?\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1mStack\u001b[0m \u001b[2m721×1440×3×426×4 \u001b[0m \u001b[2m 20 GiB\u001b[0m \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mGetitem\u001b[0m \u001b[2m721×1440×3×30×4 \u001b[0m \u001b[2m1.4 GiB\u001b[0m \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mMap\u001b[0m \u001b[2m721×1440×3×366×4 \u001b[0m \u001b[2m 17 GiB\u001b[0m \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1;38;2;206;92;0mMap\u001b[0m \u001b[2m721×1440×3×366×4 \u001b[0m \u001b[2m 17 GiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mGetitem\u001b[0m \u001b[2m721×1440×3×30×4 \u001b[0m \u001b[2m1.4 GiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mMap\u001b[0m \u001b[2m721×1440×3×366×4 \u001b[0m \u001b[2m 17 GiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1mBroadcast To\u001b[0m \u001b[2m721×1440×3×30×4 \u001b[0m \u001b[2m1.4 GiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m() \u001b[0m \u001b[2m ?\u001b[0m" | |
| ] | |
| }, | |
| "execution_count": 17, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "rolled.expr" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 18, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<pre><span style=\"font-weight: bold\">DatasetExpr</span>\n", | |
| "\n", | |
| "<span style=\"font-style: italic\">sea_surface_temperature </span>\n", | |
| "<span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> Operation Shape Bytes </span>\n", | |
| " <span style=\"font-weight: bold\">Sliding Window View</span> 721×1440×3×426×4×61 1.2 TiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">└ </span><span style=\"font-weight: bold\">Overlap</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×846×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 39 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"font-weight: bold\">Rechunk</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×486×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 23 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"font-weight: bold\">Stack</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×486×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 23 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"font-weight: bold\">Broadcast To</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×30×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.4 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">() </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ?</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"font-weight: bold\">Stack</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×426×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 20 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Getitem</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×30×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.4 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Map</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×31×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.4 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Map</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×366×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 17 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Getitem</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×30×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.4 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Map</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×30×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.4 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"font-weight: bold\">Broadcast To</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×30×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.4 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">() </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ?</span> \n", | |
| "\n", | |
| "</pre>" | |
| ], | |
| "text/plain": [ | |
| "\u001b[1mDatasetExpr\u001b[0m\n", | |
| "\n", | |
| "\u001b[3msea_surface_temperature \u001b[0m\n", | |
| "\u001b[2m \u001b[0m\u001b[2mOperation \u001b[0m\u001b[2m \u001b[0m\u001b[2mShape \u001b[0m\u001b[2m \u001b[0m\u001b[2m Bytes\u001b[0m\u001b[2m \u001b[0m\n", | |
| " \u001b[1mSliding Window View\u001b[0m 721×1440×3×426×4×61 1.2 TiB \n", | |
| " \u001b[2m└ \u001b[0m\u001b[1mOverlap\u001b[0m \u001b[2m721×1440×3×846×4 \u001b[0m \u001b[2m 39 GiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1mRechunk\u001b[0m \u001b[2m721×1440×3×486×4 \u001b[0m \u001b[2m 23 GiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1mStack\u001b[0m \u001b[2m721×1440×3×486×4 \u001b[0m \u001b[2m 23 GiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1mBroadcast To\u001b[0m \u001b[2m721×1440×3×30×4 \u001b[0m \u001b[2m1.4 GiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m() \u001b[0m \u001b[2m ?\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1mStack\u001b[0m \u001b[2m721×1440×3×426×4 \u001b[0m \u001b[2m 20 GiB\u001b[0m \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mGetitem\u001b[0m \u001b[2m721×1440×3×30×4 \u001b[0m \u001b[2m1.4 GiB\u001b[0m \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mMap\u001b[0m \u001b[2m721×1440×3×31×4 \u001b[0m \u001b[2m1.4 GiB\u001b[0m \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1;38;2;206;92;0mMap\u001b[0m \u001b[2m721×1440×3×366×4 \u001b[0m \u001b[2m 17 GiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mGetitem\u001b[0m \u001b[2m721×1440×3×30×4 \u001b[0m \u001b[2m1.4 GiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mMap\u001b[0m \u001b[2m721×1440×3×30×4 \u001b[0m \u001b[2m1.4 GiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1mBroadcast To\u001b[0m \u001b[2m721×1440×3×30×4 \u001b[0m \u001b[2m1.4 GiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m() \u001b[0m \u001b[2m ?\u001b[0m" | |
| ] | |
| }, | |
| "execution_count": 18, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "rolled.expr.simplify()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 19, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<pre><span style=\"font-weight: bold\">DatasetExpr</span>\n", | |
| "\n", | |
| "<span style=\"font-style: italic\">sea_surface_temperature </span>\n", | |
| "<span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> Operation Shape Bytes </span>\n", | |
| " <span style=\"font-weight: bold\">Sliding Window View</span> 721×1440×3×426×4×61 1.2 TiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">└ </span><span style=\"font-weight: bold\">Overlap</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×846×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 39 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"font-weight: bold\">Rechunk</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×486×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 23 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"font-weight: bold\">Stack</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×486×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 23 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"font-weight: bold\">Broadcast To</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×30×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.4 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">() </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ?</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"font-weight: bold\">Stack</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×426×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 20 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Getitem</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×30×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.4 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Fused</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×31×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.4 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Fused</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×366×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 17 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Getitem</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×30×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.4 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Fused</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×30×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.4 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"font-weight: bold\">Broadcast To</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×3×30×4 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.4 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">() </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ?</span> \n", | |
| "\n", | |
| "</pre>" | |
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| "\u001b[1mDatasetExpr\u001b[0m\n", | |
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| "\u001b[3msea_surface_temperature \u001b[0m\n", | |
| "\u001b[2m \u001b[0m\u001b[2mOperation \u001b[0m\u001b[2m \u001b[0m\u001b[2mShape \u001b[0m\u001b[2m \u001b[0m\u001b[2m Bytes\u001b[0m\u001b[2m \u001b[0m\n", | |
| " \u001b[1mSliding Window View\u001b[0m 721×1440×3×426×4×61 1.2 TiB \n", | |
| " \u001b[2m└ \u001b[0m\u001b[1mOverlap\u001b[0m \u001b[2m721×1440×3×846×4 \u001b[0m \u001b[2m 39 GiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1mRechunk\u001b[0m \u001b[2m721×1440×3×486×4 \u001b[0m \u001b[2m 23 GiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1mStack\u001b[0m \u001b[2m721×1440×3×486×4 \u001b[0m \u001b[2m 23 GiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1mBroadcast To\u001b[0m \u001b[2m721×1440×3×30×4 \u001b[0m \u001b[2m1.4 GiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m() \u001b[0m \u001b[2m ?\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1mStack\u001b[0m \u001b[2m721×1440×3×426×4 \u001b[0m \u001b[2m 20 GiB\u001b[0m \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mGetitem\u001b[0m \u001b[2m721×1440×3×30×4 \u001b[0m \u001b[2m1.4 GiB\u001b[0m \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mFused\u001b[0m \u001b[2m721×1440×3×31×4 \u001b[0m \u001b[2m1.4 GiB\u001b[0m \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1;38;2;206;92;0mFused\u001b[0m \u001b[2m721×1440×3×366×4 \u001b[0m \u001b[2m 17 GiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mGetitem\u001b[0m \u001b[2m721×1440×3×30×4 \u001b[0m \u001b[2m1.4 GiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mFused\u001b[0m \u001b[2m721×1440×3×30×4 \u001b[0m \u001b[2m1.4 GiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1mBroadcast To\u001b[0m \u001b[2m721×1440×3×30×4 \u001b[0m \u001b[2m1.4 GiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m() \u001b[0m \u001b[2m ?\u001b[0m" | |
| ] | |
| }, | |
| "execution_count": 19, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "rolled.expr.optimize(fuse=True)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "### Groupby / Flox" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 20, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<pre><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> Operation Shape Bytes </span>\n", | |
| " <span style=\"font-weight: bold\">Transpose</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">12×721×1440 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 48 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">└ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×12 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 48 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"font-weight: bold\">Stack</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×12 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 48 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×2 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">7.9 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×24 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 95 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×372 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.4 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×2 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">7.9 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×22 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 87 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×340 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.3 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×2 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">7.9 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×24 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 95 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×372 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.4 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×2 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">7.9 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×23 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 91 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×360 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.4 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×2 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">7.9 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×24 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 95 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×372 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.4 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×2 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">7.9 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×23 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 91 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×360 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.4 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×2 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">7.9 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×24 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 95 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×372 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.4 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×2 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">7.9 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×24 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 95 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×372 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.4 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×2 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">7.9 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×23 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 91 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×360 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.4 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×2 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">7.9 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×24 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 95 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×372 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.4 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×2 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">7.9 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×23 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 91 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×360 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.4 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×2 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">7.9 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×24 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 95 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×372 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1.4 GiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| "</pre>" | |
| ], | |
| "text/plain": [ | |
| "\u001b[2m \u001b[0m\u001b[2mOperation \u001b[0m\u001b[2m \u001b[0m\u001b[2mShape \u001b[0m\u001b[2m \u001b[0m\u001b[2m Bytes\u001b[0m\u001b[2m \u001b[0m\n", | |
| " \u001b[1mTranspose\u001b[0m \u001b[2m12×721×1440 \u001b[0m \u001b[2m 48 MiB\u001b[0m \n", | |
| " \u001b[2m└ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×12 \u001b[0m \u001b[2m 48 MiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1mStack\u001b[0m \u001b[2m721×1440×12 \u001b[0m \u001b[2m 48 MiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×2 \u001b[0m \u001b[2m7.9 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×24 \u001b[0m \u001b[2m 95 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×372 \u001b[0m \u001b[2m1.4 GiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×2 \u001b[0m \u001b[2m7.9 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×22 \u001b[0m \u001b[2m 87 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×340 \u001b[0m \u001b[2m1.3 GiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×2 \u001b[0m \u001b[2m7.9 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×24 \u001b[0m \u001b[2m 95 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×372 \u001b[0m \u001b[2m1.4 GiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×2 \u001b[0m \u001b[2m7.9 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×23 \u001b[0m \u001b[2m 91 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×360 \u001b[0m \u001b[2m1.4 GiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×2 \u001b[0m \u001b[2m7.9 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×24 \u001b[0m \u001b[2m 95 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×372 \u001b[0m \u001b[2m1.4 GiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×2 \u001b[0m \u001b[2m7.9 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×23 \u001b[0m \u001b[2m 91 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×360 \u001b[0m \u001b[2m1.4 GiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×2 \u001b[0m \u001b[2m7.9 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×24 \u001b[0m \u001b[2m 95 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×372 \u001b[0m \u001b[2m1.4 GiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×2 \u001b[0m \u001b[2m7.9 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×24 \u001b[0m \u001b[2m 95 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×372 \u001b[0m \u001b[2m1.4 GiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×2 \u001b[0m \u001b[2m7.9 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×23 \u001b[0m \u001b[2m 91 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×360 \u001b[0m \u001b[2m1.4 GiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×2 \u001b[0m \u001b[2m7.9 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×24 \u001b[0m \u001b[2m 95 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×372 \u001b[0m \u001b[2m1.4 GiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×2 \u001b[0m \u001b[2m7.9 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×23 \u001b[0m \u001b[2m 91 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×360 \u001b[0m \u001b[2m1.4 GiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×2 \u001b[0m \u001b[2m7.9 MiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×24 \u001b[0m \u001b[2m 95 MiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×372 \u001b[0m \u001b[2m1.4 GiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m" | |
| ] | |
| }, | |
| "execution_count": 20, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "result = arr.groupby(\"time.month\").mean()\n", | |
| "result.expr" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 21, | |
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| { | |
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| "<pre><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> Operation Shape Bytes </span>\n", | |
| " <span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Fused</span> 12×721×1440 48 MiB \n", | |
| "</pre>" | |
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| "\u001b[2m \u001b[0m\u001b[2mOperation\u001b[0m\u001b[2m \u001b[0m\u001b[2mShape \u001b[0m\u001b[2m \u001b[0m\u001b[2m Bytes\u001b[0m\u001b[2m \u001b[0m\n", | |
| " \u001b[1;38;2;206;92;0mFused\u001b[0m 12×721×1440 48 MiB" | |
| ] | |
| }, | |
| "execution_count": 21, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
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| "result.expr.optimize(fuse=True)" | |
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| " );\n", | |
| " --xr-background-color-row-even: var(\n", | |
| " --jp-layout-color1,\n", | |
| " hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n", | |
| " );\n", | |
| " --xr-background-color-row-odd: var(\n", | |
| " --jp-layout-color2,\n", | |
| " hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n", | |
| " );\n", | |
| "}\n", | |
| "\n", | |
| "html[theme=\"dark\"],\n", | |
| "html[data-theme=\"dark\"],\n", | |
| "body[data-theme=\"dark\"],\n", | |
| "body.vscode-dark {\n", | |
| " --xr-font-color0: var(\n", | |
| " --jp-content-font-color0,\n", | |
| " var(--pst-color-text-base, rgba(255, 255, 255, 1))\n", | |
| " );\n", | |
| " --xr-font-color2: var(\n", | |
| " --jp-content-font-color2,\n", | |
| " var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n", | |
| " );\n", | |
| " --xr-font-color3: var(\n", | |
| " --jp-content-font-color3,\n", | |
| " var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n", | |
| " );\n", | |
| " --xr-border-color: var(\n", | |
| " --jp-border-color2,\n", | |
| " hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n", | |
| " );\n", | |
| " --xr-disabled-color: var(\n", | |
| " --jp-layout-color3,\n", | |
| " hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n", | |
| " );\n", | |
| " --xr-background-color: var(\n", | |
| " --jp-layout-color0,\n", | |
| " var(--pst-color-on-background, #111111)\n", | |
| " );\n", | |
| " --xr-background-color-row-even: var(\n", | |
| " --jp-layout-color1,\n", | |
| " hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n", | |
| " );\n", | |
| " --xr-background-color-row-odd: var(\n", | |
| " --jp-layout-color2,\n", | |
| " hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n", | |
| " );\n", | |
| "}\n", | |
| "\n", | |
| ".xr-wrap {\n", | |
| " display: block !important;\n", | |
| " min-width: 300px;\n", | |
| " max-width: 700px;\n", | |
| " line-height: 1.6;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-text-repr-fallback {\n", | |
| " /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-header {\n", | |
| " padding-top: 6px;\n", | |
| " padding-bottom: 6px;\n", | |
| " margin-bottom: 4px;\n", | |
| " border-bottom: solid 1px var(--xr-border-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-header > div,\n", | |
| ".xr-header > ul {\n", | |
| " display: inline;\n", | |
| " margin-top: 0;\n", | |
| " margin-bottom: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-obj-type,\n", | |
| ".xr-obj-name,\n", | |
| ".xr-group-name {\n", | |
| " margin-left: 2px;\n", | |
| " margin-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-group-name::before {\n", | |
| " content: \"📁\";\n", | |
| " padding-right: 0.3em;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-group-name,\n", | |
| ".xr-obj-type {\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-sections {\n", | |
| " padding-left: 0 !important;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n", | |
| " margin-block-start: 0;\n", | |
| " margin-block-end: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input {\n", | |
| " display: inline-block;\n", | |
| " opacity: 0;\n", | |
| " height: 0;\n", | |
| " margin: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input + label {\n", | |
| " color: var(--xr-disabled-color);\n", | |
| " border: 2px solid transparent !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input:enabled + label {\n", | |
| " cursor: pointer;\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input:focus + label {\n", | |
| " border: 2px solid var(--xr-font-color0) !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input:enabled + label:hover {\n", | |
| " color: var(--xr-font-color0);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary {\n", | |
| " grid-column: 1;\n", | |
| " color: var(--xr-font-color2);\n", | |
| " font-weight: 500;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary > span {\n", | |
| " display: inline-block;\n", | |
| " padding-left: 0.5em;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:disabled + label {\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in + label:before {\n", | |
| " display: inline-block;\n", | |
| " content: \"►\";\n", | |
| " font-size: 11px;\n", | |
| " width: 15px;\n", | |
| " text-align: center;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:disabled + label:before {\n", | |
| " color: var(--xr-disabled-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked + label:before {\n", | |
| " content: \"▼\";\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked + label > span {\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary,\n", | |
| ".xr-section-inline-details {\n", | |
| " padding-top: 4px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-inline-details {\n", | |
| " grid-column: 2 / -1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-details {\n", | |
| " display: none;\n", | |
| " grid-column: 1 / -1;\n", | |
| " margin-top: 4px;\n", | |
| " margin-bottom: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked ~ .xr-section-details {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-group-box {\n", | |
| " display: inline-grid;\n", | |
| " grid-template-columns: 0px 20px auto;\n", | |
| " width: 100%;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-group-box-vline {\n", | |
| " grid-column-start: 1;\n", | |
| " border-right: 0.2em solid;\n", | |
| " border-color: var(--xr-border-color);\n", | |
| " width: 0px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-group-box-hline {\n", | |
| " grid-column-start: 2;\n", | |
| " grid-row-start: 1;\n", | |
| " height: 1em;\n", | |
| " width: 20px;\n", | |
| " border-bottom: 0.2em solid;\n", | |
| " border-color: var(--xr-border-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-group-box-contents {\n", | |
| " grid-column-start: 3;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-wrap {\n", | |
| " grid-column: 1 / -1;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 20px auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-wrap > label {\n", | |
| " grid-column: 1;\n", | |
| " vertical-align: top;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-preview {\n", | |
| " color: var(--xr-font-color3);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-preview,\n", | |
| ".xr-array-data {\n", | |
| " padding: 0 5px !important;\n", | |
| " grid-column: 2;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-data,\n", | |
| ".xr-array-in:checked ~ .xr-array-preview {\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-in:checked ~ .xr-array-data,\n", | |
| ".xr-array-preview {\n", | |
| " display: inline-block;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list {\n", | |
| " display: inline-block !important;\n", | |
| " list-style: none;\n", | |
| " padding: 0 !important;\n", | |
| " margin: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list li {\n", | |
| " display: inline-block;\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list:before {\n", | |
| " content: \"(\";\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list:after {\n", | |
| " content: \")\";\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list li:not(:last-child):after {\n", | |
| " content: \",\";\n", | |
| " padding-right: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-has-index {\n", | |
| " font-weight: bold;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-list,\n", | |
| ".xr-var-item {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-item > div,\n", | |
| ".xr-var-item label,\n", | |
| ".xr-var-item > .xr-var-name span {\n", | |
| " background-color: var(--xr-background-color-row-even);\n", | |
| " border-color: var(--xr-background-color-row-odd);\n", | |
| " margin-bottom: 0;\n", | |
| " padding-top: 2px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-item > .xr-var-name:hover span {\n", | |
| " padding-right: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-list > li:nth-child(odd) > div,\n", | |
| ".xr-var-list > li:nth-child(odd) > label,\n", | |
| ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n", | |
| " background-color: var(--xr-background-color-row-odd);\n", | |
| " border-color: var(--xr-background-color-row-even);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name {\n", | |
| " grid-column: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-dims {\n", | |
| " grid-column: 2;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-dtype {\n", | |
| " grid-column: 3;\n", | |
| " text-align: right;\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-preview {\n", | |
| " grid-column: 4;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-index-preview {\n", | |
| " grid-column: 2 / 5;\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name,\n", | |
| ".xr-var-dims,\n", | |
| ".xr-var-dtype,\n", | |
| ".xr-preview,\n", | |
| ".xr-attrs dt {\n", | |
| " white-space: nowrap;\n", | |
| " overflow: hidden;\n", | |
| " text-overflow: ellipsis;\n", | |
| " padding-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name:hover,\n", | |
| ".xr-var-dims:hover,\n", | |
| ".xr-var-dtype:hover,\n", | |
| ".xr-attrs dt:hover {\n", | |
| " overflow: visible;\n", | |
| " width: auto;\n", | |
| " z-index: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data,\n", | |
| ".xr-index-data {\n", | |
| " display: none;\n", | |
| " border-top: 2px dotted var(--xr-background-color);\n", | |
| " padding-bottom: 20px !important;\n", | |
| " padding-top: 10px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs-in + label,\n", | |
| ".xr-var-data-in + label,\n", | |
| ".xr-index-data-in + label {\n", | |
| " padding: 0 1px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n", | |
| ".xr-var-data-in:checked ~ .xr-var-data,\n", | |
| ".xr-index-data-in:checked ~ .xr-index-data {\n", | |
| " display: block;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-data > table {\n", | |
| " float: right;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-data > pre,\n", | |
| ".xr-index-data > pre,\n", | |
| ".xr-var-data > table > tbody > tr {\n", | |
| " background-color: transparent !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name span,\n", | |
| ".xr-var-data,\n", | |
| ".xr-index-name div,\n", | |
| ".xr-index-data,\n", | |
| ".xr-attrs {\n", | |
| " padding-left: 25px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs,\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data,\n", | |
| ".xr-index-data {\n", | |
| " grid-column: 1 / -1;\n", | |
| "}\n", | |
| "\n", | |
| "dl.xr-attrs {\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 125px auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt,\n", | |
| ".xr-attrs dd {\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| " float: left;\n", | |
| " padding-right: 10px;\n", | |
| " width: auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt {\n", | |
| " font-weight: normal;\n", | |
| " grid-column: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt:hover span {\n", | |
| " display: inline-block;\n", | |
| " background: var(--xr-background-color);\n", | |
| " padding-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dd {\n", | |
| " grid-column: 2;\n", | |
| " white-space: pre-wrap;\n", | |
| " word-break: break-all;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-icon-database,\n", | |
| ".xr-icon-file-text2,\n", | |
| ".xr-no-icon {\n", | |
| " display: inline-block;\n", | |
| " vertical-align: middle;\n", | |
| " width: 1em;\n", | |
| " height: 1.5em !important;\n", | |
| " stroke-width: 0;\n", | |
| " stroke: currentColor;\n", | |
| " fill: currentColor;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n", | |
| ".xr-var-data-in:checked + label > .xr-icon-database,\n", | |
| ".xr-index-data-in:checked + label > .xr-icon-database {\n", | |
| " color: var(--xr-font-color0);\n", | |
| " filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n", | |
| " stroke-width: 0.8px;\n", | |
| "}\n", | |
| "</style><pre class='xr-text-repr-fallback'><xarray.DataArray 'sea_surface_temperature' (month: 12, latitude: 721,\n", | |
| " longitude: 1440)> Size: 50MB\n", | |
| "array([[[271.46014, 271.46014, 271.46014, ..., 271.46014, 271.46014,\n", | |
| " 271.46014],\n", | |
| " [271.46014, 271.46008, 271.46014, ..., 271.46014, 271.46014,\n", | |
| " 271.46014],\n", | |
| " [271.46014, 271.46014, 271.46014, ..., 271.46014, 271.46014,\n", | |
| " 271.46014],\n", | |
| " ...,\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan]],\n", | |
| "\n", | |
| " [[271.46005, 271.46005, 271.46005, ..., 271.46005, 271.46005,\n", | |
| " 271.46005],\n", | |
| " [271.46005, 271.46002, 271.46002, ..., 271.46005, 271.46005,\n", | |
| " 271.46005],\n", | |
| " [271.46005, 271.46005, 271.46005, ..., 271.46005, 271.46005,\n", | |
| " 271.46005],\n", | |
| "...\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan]],\n", | |
| "\n", | |
| " [[271.46014, 271.46014, 271.46014, ..., 271.46014, 271.46014,\n", | |
| " 271.46014],\n", | |
| " [271.46014, 271.46 , 271.46005, ..., 271.46014, 271.46014,\n", | |
| " 271.46014],\n", | |
| " [271.46014, 271.46014, 271.46014, ..., 271.46005, 271.46014,\n", | |
| " 271.46014],\n", | |
| " ...,\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan]]], shape=(12, 721, 1440), dtype=float32)\n", | |
| "Coordinates:\n", | |
| " * month (month) int64 96B 1 2 3 4 5 6 7 8 9 10 11 12\n", | |
| " * latitude (latitude) float32 3kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0\n", | |
| " * longitude (longitude) float32 6kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8\n", | |
| "Attributes:\n", | |
| " long_name: Sea surface temperature\n", | |
| " short_name: sst\n", | |
| " units: K</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-obj-name'>'sea_surface_temperature'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>month</span>: 12</li><li><span class='xr-has-index'>latitude</span>: 721</li><li><span class='xr-has-index'>longitude</span>: 1440</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-cd0b4d3b-adb3-47a6-b41b-2e8baa712525' class='xr-array-in' type='checkbox' checked><label for='section-cd0b4d3b-adb3-47a6-b41b-2e8baa712525' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>271.5 271.5 271.5 271.5 271.5 271.5 271.5 ... nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[[271.46014, 271.46014, 271.46014, ..., 271.46014, 271.46014,\n", | |
| " 271.46014],\n", | |
| " [271.46014, 271.46008, 271.46014, ..., 271.46014, 271.46014,\n", | |
| " 271.46014],\n", | |
| " [271.46014, 271.46014, 271.46014, ..., 271.46014, 271.46014,\n", | |
| " 271.46014],\n", | |
| " ...,\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan]],\n", | |
| "\n", | |
| " [[271.46005, 271.46005, 271.46005, ..., 271.46005, 271.46005,\n", | |
| " 271.46005],\n", | |
| " [271.46005, 271.46002, 271.46002, ..., 271.46005, 271.46005,\n", | |
| " 271.46005],\n", | |
| " [271.46005, 271.46005, 271.46005, ..., 271.46005, 271.46005,\n", | |
| " 271.46005],\n", | |
| "...\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan]],\n", | |
| "\n", | |
| " [[271.46014, 271.46014, 271.46014, ..., 271.46014, 271.46014,\n", | |
| " 271.46014],\n", | |
| " [271.46014, 271.46 , 271.46005, ..., 271.46014, 271.46014,\n", | |
| " 271.46014],\n", | |
| " [271.46014, 271.46014, 271.46014, ..., 271.46005, 271.46014,\n", | |
| " 271.46014],\n", | |
| " ...,\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan]]], shape=(12, 721, 1440), dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-bc0c1f17-9d4d-4876-8546-0feb4275c10a' class='xr-section-summary-in' type='checkbox' checked><label for='section-bc0c1f17-9d4d-4876-8546-0feb4275c10a' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-65643878-efda-4a83-8979-30a60817ae27' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-65643878-efda-4a83-8979-30a60817ae27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af7852fc-ee27-485e-817f-9d69e715801e' class='xr-var-data-in' type='checkbox'><label for='data-af7852fc-ee27-485e-817f-9d69e715801e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>90.0 89.75 89.5 ... -89.75 -90.0</div><input id='attrs-2bf2e7a2-0221-4290-9ae2-95f4fb49b95f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2bf2e7a2-0221-4290-9ae2-95f4fb49b95f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9fcf950-9b59-4a74-90ea-d31e7d93bef3' class='xr-var-data-in' type='checkbox'><label for='data-e9fcf950-9b59-4a74-90ea-d31e7d93bef3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ],\n", | |
| " shape=(721,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.25 0.5 ... 359.2 359.5 359.8</div><input id='attrs-993e2c27-1758-4b47-90cd-4a52958d0b5b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-993e2c27-1758-4b47-90cd-4a52958d0b5b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84e0ba5d-183f-4cb7-9761-743199f045df' class='xr-var-data-in' type='checkbox'><label for='data-84e0ba5d-183f-4cb7-9761-743199f045df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02,\n", | |
| " 3.5975e+02], shape=(1440,), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-760889f4-aaa4-4acd-8594-eb8d41a0d80c' class='xr-section-summary-in' type='checkbox' checked><label for='section-760889f4-aaa4-4acd-8594-eb8d41a0d80c' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sea surface temperature</dd><dt><span>short_name :</span></dt><dd>sst</dd><dt><span>units :</span></dt><dd>K</dd></dl></div></li></ul></div></div>" | |
| ], | |
| "text/plain": [ | |
| "<xarray.DataArray 'sea_surface_temperature' (month: 12, latitude: 721,\n", | |
| " longitude: 1440)> Size: 50MB\n", | |
| "array([[[271.46014, 271.46014, 271.46014, ..., 271.46014, 271.46014,\n", | |
| " 271.46014],\n", | |
| " [271.46014, 271.46008, 271.46014, ..., 271.46014, 271.46014,\n", | |
| " 271.46014],\n", | |
| " [271.46014, 271.46014, 271.46014, ..., 271.46014, 271.46014,\n", | |
| " 271.46014],\n", | |
| " ...,\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan]],\n", | |
| "\n", | |
| " [[271.46005, 271.46005, 271.46005, ..., 271.46005, 271.46005,\n", | |
| " 271.46005],\n", | |
| " [271.46005, 271.46002, 271.46002, ..., 271.46005, 271.46005,\n", | |
| " 271.46005],\n", | |
| " [271.46005, 271.46005, 271.46005, ..., 271.46005, 271.46005,\n", | |
| " 271.46005],\n", | |
| "...\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan]],\n", | |
| "\n", | |
| " [[271.46014, 271.46014, 271.46014, ..., 271.46014, 271.46014,\n", | |
| " 271.46014],\n", | |
| " [271.46014, 271.46 , 271.46005, ..., 271.46014, 271.46014,\n", | |
| " 271.46014],\n", | |
| " [271.46014, 271.46014, 271.46014, ..., 271.46005, 271.46014,\n", | |
| " 271.46014],\n", | |
| " ...,\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan]]], shape=(12, 721, 1440), dtype=float32)\n", | |
| "Coordinates:\n", | |
| " * month (month) int64 96B 1 2 3 4 5 6 7 8 9 10 11 12\n", | |
| " * latitude (latitude) float32 3kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0\n", | |
| " * longitude (longitude) float32 6kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8\n", | |
| "Attributes:\n", | |
| " long_name: Sea surface temperature\n", | |
| " short_name: sst\n", | |
| " units: K" | |
| ] | |
| }, | |
| "execution_count": 22, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "result.compute()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "### Resampling" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 23, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<pre><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> Operation Shape Bytes </span>\n", | |
| " <span style=\"font-weight: bold\">Transpose</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">36×721×1440 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">143 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">└ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×36 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">143 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"font-weight: bold\">Stack</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×36 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">143 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×124 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">491 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×116 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">459 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×124 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">491 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×120 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">475 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×124 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">491 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×120 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">475 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×124 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">491 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×124 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">491 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×120 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">475 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×124 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">491 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×120 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">475 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×124 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">491 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×124 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">491 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×7 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 28 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×112 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">444 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×124 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">491 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×120 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">475 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×124 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">491 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×120 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">475 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×124 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">491 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×124 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">491 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×120 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">475 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×124 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">491 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×120 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">475 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×124 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">491 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×124 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">491 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×7 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 28 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×112 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">444 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×124 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">491 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×120 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">475 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×124 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">491 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×120 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">475 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×124 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">491 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×124 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">491 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×120 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">475 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×124 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">491 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×120 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">475 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×1 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4.0 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×8 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 32 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"font-weight: bold\">Subsetblocksexpr</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">721×1440×124 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">491 MiB</span> \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"color: #3465a4; text-decoration-color: #3465a4; font-weight: bold\">Groupby Nanmean</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> ├ </span><span style=\"font-weight: bold\">Transpose</span> 721×1440×4384 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> │ └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Open Dataset</span> 4384×721×1440 17 GiB \n", | |
| " <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> └ </span><span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Array</span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4384 </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> 34 kiB</span> \n", | |
| "</pre>" | |
| ], | |
| "text/plain": [ | |
| "\u001b[2m \u001b[0m\u001b[2mOperation \u001b[0m\u001b[2m \u001b[0m\u001b[2mShape \u001b[0m\u001b[2m \u001b[0m\u001b[2m Bytes\u001b[0m\u001b[2m \u001b[0m\n", | |
| " \u001b[1mTranspose\u001b[0m \u001b[2m36×721×1440 \u001b[0m \u001b[2m143 MiB\u001b[0m \n", | |
| " \u001b[2m└ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×36 \u001b[0m \u001b[2m143 MiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1mStack\u001b[0m \u001b[2m721×1440×36 \u001b[0m \u001b[2m143 MiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×124 \u001b[0m \u001b[2m491 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×116 \u001b[0m \u001b[2m459 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×124 \u001b[0m \u001b[2m491 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×120 \u001b[0m \u001b[2m475 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×124 \u001b[0m \u001b[2m491 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×120 \u001b[0m \u001b[2m475 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×124 \u001b[0m \u001b[2m491 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×124 \u001b[0m \u001b[2m491 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×120 \u001b[0m \u001b[2m475 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×124 \u001b[0m \u001b[2m491 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×120 \u001b[0m \u001b[2m475 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×124 \u001b[0m \u001b[2m491 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×124 \u001b[0m \u001b[2m491 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×7 \u001b[0m \u001b[2m 28 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×112 \u001b[0m \u001b[2m444 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×124 \u001b[0m \u001b[2m491 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×120 \u001b[0m \u001b[2m475 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×124 \u001b[0m \u001b[2m491 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×120 \u001b[0m \u001b[2m475 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×124 \u001b[0m \u001b[2m491 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×124 \u001b[0m \u001b[2m491 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×120 \u001b[0m \u001b[2m475 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×124 \u001b[0m \u001b[2m491 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×120 \u001b[0m \u001b[2m475 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×124 \u001b[0m \u001b[2m491 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×124 \u001b[0m \u001b[2m491 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×7 \u001b[0m \u001b[2m 28 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×112 \u001b[0m \u001b[2m444 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×124 \u001b[0m \u001b[2m491 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×120 \u001b[0m \u001b[2m475 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×124 \u001b[0m \u001b[2m491 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×120 \u001b[0m \u001b[2m475 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×124 \u001b[0m \u001b[2m491 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×124 \u001b[0m \u001b[2m491 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×120 \u001b[0m \u001b[2m475 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×124 \u001b[0m \u001b[2m491 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×120 \u001b[0m \u001b[2m475 MiB\u001b[0m \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×1 \u001b[0m \u001b[2m4.0 MiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m \u001b[2m721×1440×8 \u001b[0m \u001b[2m 32 MiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1mSubsetblocksexpr\u001b[0m \u001b[2m721×1440×124 \u001b[0m \u001b[2m491 MiB\u001b[0m \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1;38;2;52;101;164mGroupby Nanmean\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m ├ \u001b[0m\u001b[1mTranspose\u001b[0m 721×1440×4384 17 GiB \n", | |
| " \u001b[2m │ └ \u001b[0m\u001b[1;38;2;206;92;0mOpen Dataset\u001b[0m 4384×721×1440 17 GiB \n", | |
| " \u001b[2m └ \u001b[0m\u001b[1;38;2;206;92;0mArray\u001b[0m \u001b[2m4384 \u001b[0m \u001b[2m 34 kiB\u001b[0m" | |
| ] | |
| }, | |
| "execution_count": 23, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
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| ], | |
| "source": [ | |
| "result = arr.resample(time=\"ME\").mean()\n", | |
| "result.expr" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 24, | |
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| { | |
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| "<pre><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> Operation Shape Bytes </span>\n", | |
| " <span style=\"color: #ce5c00; text-decoration-color: #ce5c00; font-weight: bold\">Fused</span> 36×721×1440 143 MiB \n", | |
| "</pre>" | |
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| "\u001b[2m \u001b[0m\u001b[2mOperation\u001b[0m\u001b[2m \u001b[0m\u001b[2mShape \u001b[0m\u001b[2m \u001b[0m\u001b[2m Bytes\u001b[0m\u001b[2m \u001b[0m\n", | |
| " \u001b[1;38;2;206;92;0mFused\u001b[0m 36×721×1440 143 MiB" | |
| ] | |
| }, | |
| "execution_count": 24, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "result.expr.optimize(fuse=True)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 25, | |
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| " --jp-content-font-color2,\n", | |
| " var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n", | |
| " );\n", | |
| " --xr-font-color3: var(\n", | |
| " --jp-content-font-color3,\n", | |
| " var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n", | |
| " );\n", | |
| " --xr-border-color: var(\n", | |
| " --jp-border-color2,\n", | |
| " hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n", | |
| " );\n", | |
| " --xr-disabled-color: var(\n", | |
| " --jp-layout-color3,\n", | |
| " hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n", | |
| " );\n", | |
| " --xr-background-color: var(\n", | |
| " --jp-layout-color0,\n", | |
| " var(--pst-color-on-background, white)\n", | |
| " );\n", | |
| " --xr-background-color-row-even: var(\n", | |
| " --jp-layout-color1,\n", | |
| " hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n", | |
| " );\n", | |
| " --xr-background-color-row-odd: var(\n", | |
| " --jp-layout-color2,\n", | |
| " hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n", | |
| " );\n", | |
| "}\n", | |
| "\n", | |
| "html[theme=\"dark\"],\n", | |
| "html[data-theme=\"dark\"],\n", | |
| "body[data-theme=\"dark\"],\n", | |
| "body.vscode-dark {\n", | |
| " --xr-font-color0: var(\n", | |
| " --jp-content-font-color0,\n", | |
| " var(--pst-color-text-base, rgba(255, 255, 255, 1))\n", | |
| " );\n", | |
| " --xr-font-color2: var(\n", | |
| " --jp-content-font-color2,\n", | |
| " var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n", | |
| " );\n", | |
| " --xr-font-color3: var(\n", | |
| " --jp-content-font-color3,\n", | |
| " var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n", | |
| " );\n", | |
| " --xr-border-color: var(\n", | |
| " --jp-border-color2,\n", | |
| " hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n", | |
| " );\n", | |
| " --xr-disabled-color: var(\n", | |
| " --jp-layout-color3,\n", | |
| " hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n", | |
| " );\n", | |
| " --xr-background-color: var(\n", | |
| " --jp-layout-color0,\n", | |
| " var(--pst-color-on-background, #111111)\n", | |
| " );\n", | |
| " --xr-background-color-row-even: var(\n", | |
| " --jp-layout-color1,\n", | |
| " hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n", | |
| " );\n", | |
| " --xr-background-color-row-odd: var(\n", | |
| " --jp-layout-color2,\n", | |
| " hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n", | |
| " );\n", | |
| "}\n", | |
| "\n", | |
| ".xr-wrap {\n", | |
| " display: block !important;\n", | |
| " min-width: 300px;\n", | |
| " max-width: 700px;\n", | |
| " line-height: 1.6;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-text-repr-fallback {\n", | |
| " /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-header {\n", | |
| " padding-top: 6px;\n", | |
| " padding-bottom: 6px;\n", | |
| " margin-bottom: 4px;\n", | |
| " border-bottom: solid 1px var(--xr-border-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-header > div,\n", | |
| ".xr-header > ul {\n", | |
| " display: inline;\n", | |
| " margin-top: 0;\n", | |
| " margin-bottom: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-obj-type,\n", | |
| ".xr-obj-name,\n", | |
| ".xr-group-name {\n", | |
| " margin-left: 2px;\n", | |
| " margin-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-group-name::before {\n", | |
| " content: \"📁\";\n", | |
| " padding-right: 0.3em;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-group-name,\n", | |
| ".xr-obj-type {\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-sections {\n", | |
| " padding-left: 0 !important;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n", | |
| " margin-block-start: 0;\n", | |
| " margin-block-end: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input {\n", | |
| " display: inline-block;\n", | |
| " opacity: 0;\n", | |
| " height: 0;\n", | |
| " margin: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input + label {\n", | |
| " color: var(--xr-disabled-color);\n", | |
| " border: 2px solid transparent !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input:enabled + label {\n", | |
| " cursor: pointer;\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input:focus + label {\n", | |
| " border: 2px solid var(--xr-font-color0) !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input:enabled + label:hover {\n", | |
| " color: var(--xr-font-color0);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary {\n", | |
| " grid-column: 1;\n", | |
| " color: var(--xr-font-color2);\n", | |
| " font-weight: 500;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary > span {\n", | |
| " display: inline-block;\n", | |
| " padding-left: 0.5em;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:disabled + label {\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in + label:before {\n", | |
| " display: inline-block;\n", | |
| " content: \"►\";\n", | |
| " font-size: 11px;\n", | |
| " width: 15px;\n", | |
| " text-align: center;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:disabled + label:before {\n", | |
| " color: var(--xr-disabled-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked + label:before {\n", | |
| " content: \"▼\";\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked + label > span {\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary,\n", | |
| ".xr-section-inline-details {\n", | |
| " padding-top: 4px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-inline-details {\n", | |
| " grid-column: 2 / -1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-details {\n", | |
| " display: none;\n", | |
| " grid-column: 1 / -1;\n", | |
| " margin-top: 4px;\n", | |
| " margin-bottom: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked ~ .xr-section-details {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-group-box {\n", | |
| " display: inline-grid;\n", | |
| " grid-template-columns: 0px 20px auto;\n", | |
| " width: 100%;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-group-box-vline {\n", | |
| " grid-column-start: 1;\n", | |
| " border-right: 0.2em solid;\n", | |
| " border-color: var(--xr-border-color);\n", | |
| " width: 0px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-group-box-hline {\n", | |
| " grid-column-start: 2;\n", | |
| " grid-row-start: 1;\n", | |
| " height: 1em;\n", | |
| " width: 20px;\n", | |
| " border-bottom: 0.2em solid;\n", | |
| " border-color: var(--xr-border-color);\n", | |
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| "\n", | |
| ".xr-group-box-contents {\n", | |
| " grid-column-start: 3;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-wrap {\n", | |
| " grid-column: 1 / -1;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 20px auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-wrap > label {\n", | |
| " grid-column: 1;\n", | |
| " vertical-align: top;\n", | |
| "}\n", | |
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| ".xr-preview {\n", | |
| " color: var(--xr-font-color3);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-preview,\n", | |
| ".xr-array-data {\n", | |
| " padding: 0 5px !important;\n", | |
| " grid-column: 2;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-data,\n", | |
| ".xr-array-in:checked ~ .xr-array-preview {\n", | |
| " display: none;\n", | |
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| "\n", | |
| ".xr-array-in:checked ~ .xr-array-data,\n", | |
| ".xr-array-preview {\n", | |
| " display: inline-block;\n", | |
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| "\n", | |
| ".xr-dim-list {\n", | |
| " display: inline-block !important;\n", | |
| " list-style: none;\n", | |
| " padding: 0 !important;\n", | |
| " margin: 0;\n", | |
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| "\n", | |
| ".xr-dim-list li {\n", | |
| " display: inline-block;\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
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| "\n", | |
| ".xr-dim-list:before {\n", | |
| " content: \"(\";\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list:after {\n", | |
| " content: \")\";\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list li:not(:last-child):after {\n", | |
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| " font-weight: bold;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-list,\n", | |
| ".xr-var-item {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-item > div,\n", | |
| ".xr-var-item label,\n", | |
| ".xr-var-item > .xr-var-name span {\n", | |
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| " margin-bottom: 0;\n", | |
| " padding-top: 2px;\n", | |
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| "\n", | |
| ".xr-var-item > .xr-var-name:hover span {\n", | |
| " padding-right: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-list > li:nth-child(odd) > div,\n", | |
| ".xr-var-list > li:nth-child(odd) > label,\n", | |
| ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n", | |
| " background-color: var(--xr-background-color-row-odd);\n", | |
| " border-color: var(--xr-background-color-row-even);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name {\n", | |
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| "\n", | |
| ".xr-var-dtype {\n", | |
| " grid-column: 3;\n", | |
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| ".xr-var-preview {\n", | |
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| ".xr-index-preview {\n", | |
| " grid-column: 2 / 5;\n", | |
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| "\n", | |
| ".xr-var-name,\n", | |
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| ".xr-var-dtype,\n", | |
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| ".xr-var-name:hover,\n", | |
| ".xr-var-dims:hover,\n", | |
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| " width: auto;\n", | |
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| ".xr-var-data,\n", | |
| ".xr-index-data {\n", | |
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| " border-top: 2px dotted var(--xr-background-color);\n", | |
| " padding-bottom: 20px !important;\n", | |
| " padding-top: 10px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs-in + label,\n", | |
| ".xr-var-data-in + label,\n", | |
| ".xr-index-data-in + label {\n", | |
| " padding: 0 1px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n", | |
| ".xr-var-data-in:checked ~ .xr-var-data,\n", | |
| ".xr-index-data-in:checked ~ .xr-index-data {\n", | |
| " display: block;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-data > table {\n", | |
| " float: right;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-data > pre,\n", | |
| ".xr-index-data > pre,\n", | |
| ".xr-var-data > table > tbody > tr {\n", | |
| " background-color: transparent !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name span,\n", | |
| ".xr-var-data,\n", | |
| ".xr-index-name div,\n", | |
| ".xr-index-data,\n", | |
| ".xr-attrs {\n", | |
| " padding-left: 25px !important;\n", | |
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| "\n", | |
| ".xr-attrs,\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data,\n", | |
| ".xr-index-data {\n", | |
| " grid-column: 1 / -1;\n", | |
| "}\n", | |
| "\n", | |
| "dl.xr-attrs {\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
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| "\n", | |
| ".xr-attrs dt {\n", | |
| " font-weight: normal;\n", | |
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| " display: inline-block;\n", | |
| " background: var(--xr-background-color);\n", | |
| " padding-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dd {\n", | |
| " grid-column: 2;\n", | |
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| " word-break: break-all;\n", | |
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| "\n", | |
| ".xr-icon-database,\n", | |
| ".xr-icon-file-text2,\n", | |
| ".xr-no-icon {\n", | |
| " display: inline-block;\n", | |
| " vertical-align: middle;\n", | |
| " width: 1em;\n", | |
| " height: 1.5em !important;\n", | |
| " stroke-width: 0;\n", | |
| " stroke: currentColor;\n", | |
| " fill: currentColor;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n", | |
| ".xr-var-data-in:checked + label > .xr-icon-database,\n", | |
| ".xr-index-data-in:checked + label > .xr-icon-database {\n", | |
| " color: var(--xr-font-color0);\n", | |
| " filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n", | |
| " stroke-width: 0.8px;\n", | |
| "}\n", | |
| "</style><pre class='xr-text-repr-fallback'><xarray.DataArray 'sea_surface_temperature' (time: 36, latitude: 721,\n", | |
| " longitude: 1440)> Size: 150MB\n", | |
| "array([[[271.46014, 271.46014, 271.46014, ..., 271.46014, 271.46014,\n", | |
| " 271.46014],\n", | |
| " [271.46014, 271.4601 , 271.46014, ..., 271.46014, 271.46014,\n", | |
| " 271.46014],\n", | |
| " [271.46014, 271.46014, 271.46014, ..., 271.46014, 271.46014,\n", | |
| " 271.46014],\n", | |
| " ...,\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan]],\n", | |
| "\n", | |
| " [[271.46008, 271.46008, 271.46008, ..., 271.46008, 271.46008,\n", | |
| " 271.46008],\n", | |
| " [271.46008, 271.46008, 271.46008, ..., 271.46008, 271.46008,\n", | |
| " 271.46008],\n", | |
| " [271.46008, 271.46008, 271.46008, ..., 271.46008, 271.46008,\n", | |
| " 271.46008],\n", | |
| "...\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan]],\n", | |
| "\n", | |
| " [[271.46008, 271.46008, 271.46008, ..., 271.46008, 271.46008,\n", | |
| " 271.46008],\n", | |
| " [271.46008, 271.46005, 271.46008, ..., 271.46008, 271.46008,\n", | |
| " 271.46008],\n", | |
| " [271.46008, 271.46008, 271.46008, ..., 271.46008, 271.46008,\n", | |
| " 271.46008],\n", | |
| " ...,\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan]]], shape=(36, 721, 1440), dtype=float32)\n", | |
| "Coordinates:\n", | |
| " * time (time) datetime64[ns] 288B 2020-01-31 2020-02-29 ... 2022-12-31\n", | |
| " * latitude (latitude) float32 3kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0\n", | |
| " * longitude (longitude) float32 6kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8\n", | |
| "Attributes:\n", | |
| " long_name: Sea surface temperature\n", | |
| " short_name: sst\n", | |
| " units: K</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-obj-name'>'sea_surface_temperature'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 36</li><li><span class='xr-has-index'>latitude</span>: 721</li><li><span class='xr-has-index'>longitude</span>: 1440</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-037e79c2-e2a0-4a4e-a332-65768d305adc' class='xr-array-in' type='checkbox' checked><label for='section-037e79c2-e2a0-4a4e-a332-65768d305adc' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>271.5 271.5 271.5 271.5 271.5 271.5 271.5 ... nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[[271.46014, 271.46014, 271.46014, ..., 271.46014, 271.46014,\n", | |
| " 271.46014],\n", | |
| " [271.46014, 271.4601 , 271.46014, ..., 271.46014, 271.46014,\n", | |
| " 271.46014],\n", | |
| " [271.46014, 271.46014, 271.46014, ..., 271.46014, 271.46014,\n", | |
| " 271.46014],\n", | |
| " ...,\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan]],\n", | |
| "\n", | |
| " [[271.46008, 271.46008, 271.46008, ..., 271.46008, 271.46008,\n", | |
| " 271.46008],\n", | |
| " [271.46008, 271.46008, 271.46008, ..., 271.46008, 271.46008,\n", | |
| " 271.46008],\n", | |
| " [271.46008, 271.46008, 271.46008, ..., 271.46008, 271.46008,\n", | |
| " 271.46008],\n", | |
| "...\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan]],\n", | |
| "\n", | |
| " [[271.46008, 271.46008, 271.46008, ..., 271.46008, 271.46008,\n", | |
| " 271.46008],\n", | |
| " [271.46008, 271.46005, 271.46008, ..., 271.46008, 271.46008,\n", | |
| " 271.46008],\n", | |
| " [271.46008, 271.46008, 271.46008, ..., 271.46008, 271.46008,\n", | |
| " 271.46008],\n", | |
| " ...,\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan]]], shape=(36, 721, 1440), dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-dce09cfe-7fc8-4439-aad5-0aa7b15a0ab0' class='xr-section-summary-in' type='checkbox' checked><label for='section-dce09cfe-7fc8-4439-aad5-0aa7b15a0ab0' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-01-31 ... 2022-12-31</div><input id='attrs-1366c46d-f617-4a86-865d-844557ce4144' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1366c46d-f617-4a86-865d-844557ce4144' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a73ac4e-e375-469a-a75d-000b80659166' class='xr-var-data-in' type='checkbox'><label for='data-3a73ac4e-e375-469a-a75d-000b80659166' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(['2020-01-31T00:00:00.000000000', '2020-02-29T00:00:00.000000000',\n", | |
| " '2020-03-31T00:00:00.000000000', '2020-04-30T00:00:00.000000000',\n", | |
| " '2020-05-31T00:00:00.000000000', '2020-06-30T00:00:00.000000000',\n", | |
| " '2020-07-31T00:00:00.000000000', '2020-08-31T00:00:00.000000000',\n", | |
| " '2020-09-30T00:00:00.000000000', '2020-10-31T00:00:00.000000000',\n", | |
| " '2020-11-30T00:00:00.000000000', '2020-12-31T00:00:00.000000000',\n", | |
| " '2021-01-31T00:00:00.000000000', '2021-02-28T00:00:00.000000000',\n", | |
| " '2021-03-31T00:00:00.000000000', '2021-04-30T00:00:00.000000000',\n", | |
| " '2021-05-31T00:00:00.000000000', '2021-06-30T00:00:00.000000000',\n", | |
| " '2021-07-31T00:00:00.000000000', '2021-08-31T00:00:00.000000000',\n", | |
| " '2021-09-30T00:00:00.000000000', '2021-10-31T00:00:00.000000000',\n", | |
| " '2021-11-30T00:00:00.000000000', '2021-12-31T00:00:00.000000000',\n", | |
| " '2022-01-31T00:00:00.000000000', '2022-02-28T00:00:00.000000000',\n", | |
| " '2022-03-31T00:00:00.000000000', '2022-04-30T00:00:00.000000000',\n", | |
| " '2022-05-31T00:00:00.000000000', '2022-06-30T00:00:00.000000000',\n", | |
| " '2022-07-31T00:00:00.000000000', '2022-08-31T00:00:00.000000000',\n", | |
| " '2022-09-30T00:00:00.000000000', '2022-10-31T00:00:00.000000000',\n", | |
| " '2022-11-30T00:00:00.000000000', '2022-12-31T00:00:00.000000000'],\n", | |
| " dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>90.0 89.75 89.5 ... -89.75 -90.0</div><input id='attrs-95bfadcf-caf2-4aef-8425-0341fe7bdd55' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95bfadcf-caf2-4aef-8425-0341fe7bdd55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dcfc2ad7-31a5-46cd-89d4-2a9b6db23c22' class='xr-var-data-in' type='checkbox'><label for='data-dcfc2ad7-31a5-46cd-89d4-2a9b6db23c22' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ],\n", | |
| " shape=(721,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.25 0.5 ... 359.2 359.5 359.8</div><input id='attrs-548d2c1a-faac-4eb1-98c7-8a24f93aa13c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-548d2c1a-faac-4eb1-98c7-8a24f93aa13c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d65c6f93-4cdb-4fc0-8531-58c8980d86b5' class='xr-var-data-in' type='checkbox'><label for='data-d65c6f93-4cdb-4fc0-8531-58c8980d86b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02,\n", | |
| " 3.5975e+02], shape=(1440,), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d78bbfc7-6e98-432f-b62f-38de269d874d' class='xr-section-summary-in' type='checkbox' checked><label for='section-d78bbfc7-6e98-432f-b62f-38de269d874d' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sea surface temperature</dd><dt><span>short_name :</span></dt><dd>sst</dd><dt><span>units :</span></dt><dd>K</dd></dl></div></li></ul></div></div>" | |
| ], | |
| "text/plain": [ | |
| "<xarray.DataArray 'sea_surface_temperature' (time: 36, latitude: 721,\n", | |
| " longitude: 1440)> Size: 150MB\n", | |
| "array([[[271.46014, 271.46014, 271.46014, ..., 271.46014, 271.46014,\n", | |
| " 271.46014],\n", | |
| " [271.46014, 271.4601 , 271.46014, ..., 271.46014, 271.46014,\n", | |
| " 271.46014],\n", | |
| " [271.46014, 271.46014, 271.46014, ..., 271.46014, 271.46014,\n", | |
| " 271.46014],\n", | |
| " ...,\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan]],\n", | |
| "\n", | |
| " [[271.46008, 271.46008, 271.46008, ..., 271.46008, 271.46008,\n", | |
| " 271.46008],\n", | |
| " [271.46008, 271.46008, 271.46008, ..., 271.46008, 271.46008,\n", | |
| " 271.46008],\n", | |
| " [271.46008, 271.46008, 271.46008, ..., 271.46008, 271.46008,\n", | |
| " 271.46008],\n", | |
| "...\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan]],\n", | |
| "\n", | |
| " [[271.46008, 271.46008, 271.46008, ..., 271.46008, 271.46008,\n", | |
| " 271.46008],\n", | |
| " [271.46008, 271.46005, 271.46008, ..., 271.46008, 271.46008,\n", | |
| " 271.46008],\n", | |
| " [271.46008, 271.46008, 271.46008, ..., 271.46008, 271.46008,\n", | |
| " 271.46008],\n", | |
| " ...,\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan]]], shape=(36, 721, 1440), dtype=float32)\n", | |
| "Coordinates:\n", | |
| " * time (time) datetime64[ns] 288B 2020-01-31 2020-02-29 ... 2022-12-31\n", | |
| " * latitude (latitude) float32 3kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0\n", | |
| " * longitude (longitude) float32 6kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8\n", | |
| "Attributes:\n", | |
| " long_name: Sea surface temperature\n", | |
| " short_name: sst\n", | |
| " units: K" | |
| ] | |
| }, | |
| "execution_count": 25, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "result.compute()" | |
| ] | |
| } | |
| ], | |
| "metadata": { | |
| "kernelspec": { | |
| "display_name": "Python 3 (ipykernel)", | |
| "language": "python", | |
| "name": "python3" | |
| }, | |
| "language_info": { | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 3 | |
| }, | |
| "file_extension": ".py", | |
| "mimetype": "text/x-python", | |
| "name": "python", | |
| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython3", | |
| "version": "3.14.0" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 4 | |
| } |
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