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kaveenr/month.ipynb

Created January 30, 2022 11:39
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month.ipynb
{
"cells": [
{
"cell_type": "markdown",
"id": "9765a915-03ca-4a0e-8076-0ba01a070500",
"metadata": {},
"source": [
"# Analyze Monthly Details\n",
"\n",
"Using https://timetrack.io data to make quick monthly stats"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "a63621dd-b5ee-45ce-a2ea-cada2e2b884b",
"metadata": {
"jupyter": {
"source_hidden": true
}
},
"outputs": [],
"source": [
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import matplotlib\n",
"import json\n",
"from IPython import display\n",
"\n",
"matplotlib.rcParams['figure.figsize'] = (20, 10)\n"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "ac631029-3ffc-4873-84db-0085f7ee7468",
"metadata": {
"jupyter": {
"source_hidden": true
}
},
"outputs": [],
"source": [
"group_df = pd.read_csv(\"groups.csv\")"
]
},
{
"cell_type": "code",
"execution_count": 32,
"id": "a8885cca-c870-436e-8df4-3eca7c08e6fb",
"metadata": {
"jupyter": {
"source_hidden": true
}
},
"outputs": [],
"source": [
"FILE_NAME = \"jan_2022.csv\"\n",
"df = pd.read_csv(FILE_NAME)\n",
"df['From'] = pd.to_datetime(df['From'], format='%b %d, %Y, %I:%M %p')\n",
"df['To'] = pd.to_datetime(df['To'], format='%b %d, %Y, %I:%M %p')\n",
"df['Minutes'] = df['To'].sub(df['From']).dt.total_seconds().div(60)\n",
"del df['Comment']\n",
"del df['Tags']\n",
"df = pd.merge(df, group_df, left_on=['Activity type'], right_on= ['Activity type'], how='left')\n",
"df = df.dropna()\n",
"df = df.sort_values(by='From')"
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "df1ff64f-325e-4cea-8de6-185ac521dec9",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"# Generate Remaps\n",
"# for type in df['Activity type'].unique():\n",
"# print(f\"{type}, {type}\")"
]
},
{
"cell_type": "markdown",
"id": "d9e005a8-f4bf-437c-9782-32db46390020",
"metadata": {},
"source": [
"## Daily Timeline\n",
"\n",
"Show daily activity in sequence."
]
},
{
"cell_type": "code",
"execution_count": 34,
"id": "7a574bcb-4971-4c21-ac05-b60501eee743",
"metadata": {
"jupyter": {
"source_hidden": true
}
},
"outputs": [],
"source": [
"#TODO"
]
},
{
"cell_type": "markdown",
"id": "5ef0849b-995a-45e4-9be2-809e33ef9e03",
"metadata": {},
"source": [
"## Day By Day Stats\n",
"\n",
"Giving a day by day breakdown of work."
]
},
{
"cell_type": "code",
"execution_count": 35,
"id": "51db7696-6b0f-4c43-b916-e3b154568175",
"metadata": {
"jupyter": {
"source_hidden": true
}
},
"outputs": [],
"source": [
"daily_breakdown = df.groupby([pd.Grouper(key='From', axis=0, freq='1D', sort=True), 'Group'])['Minutes'].sum().unstack()"
]
},
{
"cell_type": "code",
"execution_count": 36,
"id": "c7ba810a-a486-4f1d-af3a-2c5fa618770b",
"metadata": {
"jupyter": {
"source_hidden": true
}
},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot:title={'center':'Daily Breakdown'}, xlabel='From'>"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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" &quot;2022-01-01T00:00:00.000Z&quot;:{\n",
" &quot;Entertaintment&quot;:101.0,\n",
" &quot;Exercise&quot;:null,\n",
" &quot;Non Work&quot;:null,\n",
" &quot;Sleep&quot;:374.0,\n",
" &quot;Socialising&quot;:null,\n",
" &quot;Work&quot;:null\n",
" },\n",
" &quot;2022-01-02T00:00:00.000Z&quot;:{\n",
" &quot;Entertaintment&quot;:299.0,\n",
" &quot;Exercise&quot;:74.0,\n",
" &quot;Non Work&quot;:117.0,\n",
" &quot;Sleep&quot;:467.0,\n",
" &quot;Socialising&quot;:229.0,\n",
" &quot;Work&quot;:null\n",
" },\n",
" &quot;2022-01-03T00:00:00.000Z&quot;:{\n",
" &quot;Entertaintment&quot;:153.0,\n",
" &quot;Exercise&quot;:88.0,\n",
" &quot;Non Work&quot;:247.0,\n",
" &quot;Sleep&quot;:472.0,\n",
" &quot;Socialising&quot;:null,\n",
" &quot;Work&quot;:137.0\n",
" },\n",
" &quot;2022-01-04T00:00:00.000Z&quot;:{\n",
" &quot;Entertaintment&quot;:201.0,\n",
" &quot;Exercise&quot;:43.0,\n",
" &quot;Non Work&quot;:170.0,\n",
" &quot;Sleep&quot;:473.0,\n",
" &quot;Socialising&quot;:null,\n",
" &quot;Work&quot;:208.0\n",
" },\n",
" &quot;2022-01-05T00:00:00.000Z&quot;:{\n",
" &quot;Entertaintment&quot;:79.0,\n",
" &quot;Exercise&quot;:92.0,\n",
" &quot;Non Work&quot;:114.0,\n",
" &quot;Sleep&quot;:343.0,\n",
" &quot;Socialising&quot;:196.0,\n",
" &quot;Work&quot;:279.0\n",
" },\n",
" &quot;2022-01-06T00:00:00.000Z&quot;:{\n",
" &quot;Entertaintment&quot;:114.0,\n",
" &quot;Exercise&quot;:118.0,\n",
" &quot;Non Work&quot;:94.0,\n",
" &quot;Sleep&quot;:501.0,\n",
" &quot;Socialising&quot;:null,\n",
" &quot;Work&quot;:300.0\n",
" },\n",
" &quot;2022-01-07T00:00:00.000Z&quot;:{\n",
" &quot;Entertaintment&quot;:55.0,\n",
" &quot;Exercise&quot;:89.0,\n",
" &quot;Non Work&quot;:49.0,\n",
" &quot;Sleep&quot;:null,\n",
" &quot;Socialising&quot;:325.0,\n",
" &quot;Work&quot;:247.0\n",
" },\n",
" &quot;2022-01-08T00:00:00.000Z&quot;:{\n",
" &quot;Entertaintment&quot;:421.0,\n",
" &quot;Exercise&quot;:31.0,\n",
" &quot;Non Work&quot;:102.0,\n",
" &quot;Sleep&quot;:855.0,\n",
" &quot;Socialising&quot;:null,\n",
" &quot;Work&quot;:null\n",
" },\n",
" &quot;2022-01-09T00:00:00.000Z&quot;:{\n",
" &quot;Entertaintment&quot;:250.0,\n",
" &quot;Exercise&quot;:79.0,\n",
" &quot;Non Work&quot;:240.0,\n",
" &quot;Sleep&quot;:493.0,\n",
" &quot;Socialising&quot;:null,\n",
" &quot;Work&quot;:null\n",
" },\n",
" &quot;2022-01-10T00:00:00.000Z&quot;:{\n",
" &quot;Entertaintment&quot;:201.0,\n",
" &quot;Exercise&quot;:43.0,\n",
" &quot;Non Work&quot;:131.0,\n",
" &quot;Sleep&quot;:440.0,\n",
" &quot;Socialising&quot;:null,\n",
" &quot;Work&quot;:176.0\n",
" },\n",
" &quot;2022-01-11T00:00:00.000Z&quot;:{\n",
" &quot;Entertaintment&quot;:80.0,\n",
" &quot;Exercise&quot;:86.0,\n",
" &quot;Non Work&quot;:30.0,\n",
" &quot;Sleep&quot;:null,\n",
" &quot;Socialising&quot;:278.0,\n",
" &quot;Work&quot;:399.0\n",
" },\n",
" &quot;2022-01-12T00:00:00.000Z&quot;:{\n",
" &quot;Entertaintment&quot;:120.0,\n",
" &quot;Exercise&quot;:42.0,\n",
" &quot;Non Work&quot;:91.0,\n",
" &quot;Sleep&quot;:851.0,\n",
" &quot;Socialising&quot;:null,\n",
" &quot;Work&quot;:352.0\n",
" },\n",
" &quot;2022-01-13T00:00:00.000Z&quot;:{\n",
" &quot;Entertaintment&quot;:95.0,\n",
" &quot;Exercise&quot;:113.0,\n",
" &quot;Non Work&quot;:78.0,\n",
" &quot;Sleep&quot;:403.0,\n",
" &quot;Socialising&quot;:87.0,\n",
" &quot;Work&quot;:319.0\n",
" },\n",
" &quot;2022-01-14T00:00:00.000Z&quot;:{\n",
" &quot;Entertaintment&quot;:138.0,\n",
" &quot;Exercise&quot;:40.0,\n",
" &quot;Non Work&quot;:110.0,\n",
" &quot;Sleep&quot;:431.0,\n",
" &quot;Socialising&quot;:null,\n",
" &quot;Work&quot;:395.0\n",
" },\n",
" &quot;2022-01-15T00:00:00.000Z&quot;:{\n",
" &quot;Entertaintment&quot;:52.0,\n",
" &quot;Exercise&quot;:86.0,\n",
" &quot;Non Work&quot;:12.0,\n",
" &quot;Sleep&quot;:565.0,\n",
" &quot;Socialising&quot;:278.0,\n",
" &quot;Work&quot;:30.0\n",
" },\n",
" &quot;2022-01-16T00:00:00.000Z&quot;:{\n",
" &quot;Entertaintment&quot;:141.0,\n",
" &quot;Exercise&quot;:31.0,\n",
" &quot;Non Work&quot;:24.0,\n",
" &quot;Sleep&quot;:433.0,\n",
" &quot;Socialising&quot;:null,\n",
" &quot;Work&quot;:null\n",
" },\n",
" &quot;2022-01-17T00:00:00.000Z&quot;:{\n",
" &quot;Entertaintment&quot;:85.0,\n",
" &quot;Exercise&quot;:77.0,\n",
" &quot;Non Work&quot;:134.0,\n",
" &quot;Sleep&quot;:435.0,\n",
" &quot;Socialising&quot;:null,\n",
" &quot;Work&quot;:399.0\n",
" },\n",
" &quot;2022-01-18T00:00:00.000Z&quot;:{\n",
" &quot;Entertaintment&quot;:269.0,\n",
" &quot;Exercise&quot;:38.0,\n",
" &quot;Non Work&quot;:52.0,\n",
" &quot;Sleep&quot;:78.0,\n",
" &quot;Socialising&quot;:null,\n",
" &quot;Work&quot;:379.0\n",
" },\n",
" &quot;2022-01-19T00:00:00.000Z&quot;:{\n",
" &quot;Entertaintment&quot;:55.0,\n",
" &quot;Exercise&quot;:80.0,\n",
" &quot;Non Work&quot;:null,\n",
" &quot;Sleep&quot;:733.0,\n",
" &quot;Socialising&quot;:null,\n",
" &quot;Work&quot;:338.0\n",
" },\n",
" &quot;2022-01-20T00:00:00.000Z&quot;:{\n",
" &quot;Entertaintment&quot;:205.0,\n",
" &quot;Exercise&quot;:35.0,\n",
" &quot;Non Work&quot;:132.0,\n",
" &quot;Sleep&quot;:355.0,\n",
" &quot;Socialising&quot;:null,\n",
" &quot;Work&quot;:385.0\n",
" },\n",
" &quot;2022-01-21T00:00:00.000Z&quot;:{\n",
" &quot;Entertaintment&quot;:24.0,\n",
" &quot;Exercise&quot;:76.0,\n",
" &quot;Non Work&quot;:113.0,\n",
" &quot;Sleep&quot;:595.0,\n",
" &quot;Socialising&quot;:89.0,\n",
" &quot;Work&quot;:312.0\n",
" },\n",
" &quot;2022-01-22T00:00:00.000Z&quot;:{\n",
" &quot;Entertaintment&quot;:208.0,\n",
" &quot;Exercise&quot;:37.0,\n",
" &quot;Non Work&quot;:49.0,\n",
" &quot;Sleep&quot;:130.0,\n",
" &quot;Socialising&quot;:null,\n",
" &quot;Work&quot;:null\n",
" },\n",
" &quot;2022-01-23T00:00:00.000Z&quot;:{\n",
" &quot;Entertaintment&quot;:265.0,\n",
" &quot;Exercise&quot;:59.0,\n",
" &quot;Non Work&quot;:116.0,\n",
" &quot;Sleep&quot;:823.0,\n",
" &quot;Socialising&quot;:221.0,\n",
" &quot;Work&quot;:null\n",
" },\n",
" &quot;2022-01-24T00:00:00.000Z&quot;:{\n",
" &quot;Entertaintment&quot;:121.0,\n",
" &quot;Exercise&quot;:44.0,\n",
" &quot;Non Work&quot;:153.0,\n",
" &quot;Sleep&quot;:562.0,\n",
" &quot;Socialising&quot;:131.0,\n",
" &quot;Work&quot;:174.0\n",
" },\n",
" &quot;2022-01-25T00:00:00.000Z&quot;:{\n",
" &quot;Entertaintment&quot;:65.0,\n",
" &quot;Exercise&quot;:66.0,\n",
" &quot;Non Work&quot;:70.0,\n",
" &quot;Sleep&quot;:445.0,\n",
" &quot;Socialising&quot;:124.0,\n",
" &quot;Work&quot;:140.0\n",
" },\n",
" &quot;2022-01-26T00:00:00.000Z&quot;:{\n",
" &quot;Entertaintment&quot;:231.0,\n",
" &quot;Exercise&quot;:null,\n",
" &quot;Non Work&quot;:231.0,\n",
" &quot;Sleep&quot;:418.0,\n",
" &quot;Socialising&quot;:null,\n",
" &quot;Work&quot;:335.0\n",
" },\n",
" &quot;2022-01-27T00:00:00.000Z&quot;:{\n",
" &quot;Entertaintment&quot;:70.0,\n",
" &quot;Exercise&quot;:42.0,\n",
" &quot;Non Work&quot;:19.0,\n",
" &quot;Sleep&quot;:496.0,\n",
" &quot;Socialising&quot;:216.0,\n",
" &quot;Work&quot;:92.0\n",
" },\n",
" &quot;2022-01-28T00:00:00.000Z&quot;:{\n",
" &quot;Entertaintment&quot;:164.0,\n",
" &quot;Exercise&quot;:53.0,\n",
" &quot;Non Work&quot;:15.0,\n",
" &quot;Sleep&quot;:null,\n",
" &quot;Socialising&quot;:null,\n",
" &quot;Work&quot;:537.0\n",
" },\n",
" &quot;2022-01-29T00:00:00.000Z&quot;:{\n",
" &quot;Entertaintment&quot;:183.0,\n",
" &quot;Exercise&quot;:39.0,\n",
" &quot;Non Work&quot;:64.0,\n",
" &quot;Sleep&quot;:673.0,\n",
" &quot;Socialising&quot;:410.0,\n",
" &quot;Work&quot;:null\n",
" },\n",
" &quot;2022-01-30T00:00:00.000Z&quot;:{\n",
" &quot;Entertaintment&quot;:null,\n",
" &quot;Exercise&quot;:null,\n",
" &quot;Non Work&quot;:35.0,\n",
" &quot;Sleep&quot;:null,\n",
" &quot;Socialising&quot;:null,\n",
" &quot;Work&quot;:null\n",
" }\n",
"}\n",
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"}"
]
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"display.Code(daily_breakdown.to_json(orient = 'index', date_format='iso', indent=4))"
]
},
{
"cell_type": "markdown",
"id": "ec70743b-37ea-49fe-ab31-bea09b15acc5",
"metadata": {},
"source": [
"## Monthly Breakdown\n",
"\n",
"monthly brakdown of activities."
]
},
{
"cell_type": "code",
"execution_count": 38,
"id": "8e8f52f7-08dc-4943-a7ac-7106557f0346",
"metadata": {
"jupyter": {
"source_hidden": true
}
},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot:title={'center':'Monthly Brakdown'}, ylabel='Minutes'>"
]
},
"execution_count": 38,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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"<Figure size 1440x720 with 1 Axes>"
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],
"source": [
"monthly_breakdown = df[df['Group'] != 'Sleep'].groupby(['Group'])['Minutes'].sum()\n",
"monthly_breakdown.plot.pie(title=\"Monthly Brakdown\", y='Group', autopct='%1.0f%%')"
]
},
{
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"id": "c1c04aff-ace7-41d1-83d4-3ac40f6844b3",
"metadata": {
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}
},
"outputs": [
{
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" &quot;Entertaintment&quot;: 4445.0,\n",
" &quot;Exercise&quot;: 1701.0,\n",
" &quot;Non Work&quot;: 2792.0,\n",
" &quot;Socialising&quot;: 2584.0,\n",
" &quot;Work&quot;: 5933.0\n",
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"{\n",
" \"Entertaintment\": 4445.0,\n",
" \"Exercise\": 1701.0,\n",
" \"Non Work\": 2792.0,\n",
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" \"Work\": 5933.0\n",
"}"
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},
"execution_count": 39,
"metadata": {},
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}
],
"source": [
"display.Code(json.dumps(json.loads(monthly_breakdown.to_json()), indent=4))"
]
},
{
"cell_type": "markdown",
"id": "f07d4e77-1ae7-4fc9-a830-5126d547f3a2",
"metadata": {},
"source": [
"## Non Work Breakdown\n",
"\n",
"where does non-work time is allocated."
]
},
{
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"execution_count": 42,
"id": "2904230a-83ab-4f62-9ee0-012e705f9455",
"metadata": {
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},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot:title={'center':'Monthly Non Work Breakdown'}, xlabel='Activity type'>"
]
},
"execution_count": 42,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x720 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"non_work_breakdown = df[df['Group'] == 'Non Work'].groupby(['Activity type'])['Minutes'].sum()\n",
"non_work_breakdown.plot.bar(title=\"Monthly Non Work Breakdown\", y='Group')"
]
},
{
"cell_type": "code",
"execution_count": 41,
"id": "bcb24461-ee67-4b1b-bfab-26668443916c",
"metadata": {
"jupyter": {
"source_hidden": true
}
},
"outputs": [
{
"data": {
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"span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }\n",
".output_html .hll { background-color: #ffffcc }\n",
".output_html { background: #f8f8f8; }\n",
".output_html .c { color: #408080; font-style: italic } /* Comment */\n",
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".output_html .il { color: #666666 } /* Literal.Number.Integer.Long */</style><div class=\"highlight\"><pre><span></span>{\n",
" &quot;Cooking/Baking&quot;: 54.0,\n",
" &quot;Meditation&quot;: 194.0,\n",
" &quot;Music Making&quot;: 146.0,\n",
" &quot;Projects&quot;: 1315.0,\n",
" &quot;Reading&quot;: 931.0,\n",
" &quot;Writing&quot;: 152.0\n",
"}\n",
"</pre></div>\n"
],
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" \"Meditation\": 194.0,\n",
" \"Music Making\": 146.0,\n",
" \"Projects\": 1315.0,\n",
" \"Reading\": 931.0,\n",
" \"Writing\": 152.0\n",
"}"
]
},
"execution_count": 41,
"metadata": {},
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}
],
"source": [
"display.Code(json.dumps(json.loads(non_work_breakdown.to_json()), indent=4))"
]
}
],
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"name": "python3"
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