KalebNyquist

KalebNyquist

{
  "config": {
    "view": {
      "continuousWidth": 400,
      "continuousHeight": 400,
      "strokeWidth": 0,
      "stroke": "#000000"
    }
  },
  "layer": [

KalebNyquist

# Some of my favorite color palettes, including the original sources and the code I used to customize them to my liking

# Used as reference: http://tsitsul.in/img/colors/all_palettes/tableau.20.colorblind.png | http://tsitsul.in/blog/coloropt/
xgfs_normal11 = [(235, 172, 35), (184, 0, 88), (0, 140, 249), (0, 110, 0), (0, 187, 173), (209, 99, 230), (178, 69, 2), (255, 146, 135), (89, 84, 214), (0, 198, 248), (135, 133, 0), (0, 167, 108)]
xgfs_greys = [(88, 88, 88), (238, 238, 238)]
tableau_18 = [[ 31, 119, 180], [174, 199, 232], [255, 127,  14], [255, 187, 120], [ 44, 160,  44], [152, 223, 138], [214,  39,  40], [255, 152, 150], [148, 103, 189], [197, 176, 213], [140,  86,  75], [196, 156, 148], [227, 119, 194], [247, 182, 210], [188, 189,  34], [219, 219, 141], [ 23, 190, 207], [158, 218, 229]]
tableau_grey = [[127, 127, 127], [199, 199, 199]]

# Convert to Hex
from matplotlib import colors

KalebNyquist

// Instructions: 
// (1) Highlight file of interest. 
// (2) Run code in Zotero's JavaScript console (found under Tools > Developer > Run Javascript) in sync mode.

function collections_output() {
    zp = Zotero.getActiveZoteroPane()
    items = zp.getSelectedItems()
    collection_ids = items[0]["_collections"]
    
    collections_cache = Zotero.Collections._objectCache

KalebNyquist

import requests
import pandas as pd
from bs4 import BeautifulSoup

# List of States
# source: https://gist.github.com/mshafrir/2646763#gistcomment-1583853
states = {"al":"alabama","ak":"alaska","az":"arizona","ar":"arkansas","ca":"california","co":"colorado","ct":"connecticut","dc":"district of columbia","de":"delaware","fl":"florida","ga":"georgia","hi":"hawaii","id":"idaho","il":"illinois","in":"indiana","ia":"iowa","ks":"kansas","ky":"kentucky","la":"louisiana","me":"maine","md":"maryland","ma":"massachusetts","mi":"michigan","mn":"minnesota","ms":"mississippi","mo":"missouri","mt":"montana","ne":"nebraska","nv":"nevada","nh":"new hampshire","nj":"new jersey","nm":"new mexico","ny":"new york","nc":"north carolina","nd":"north dakota","oh":"ohio","ok":"oklahoma","or":"oregon","pa":"pennsylvania","ri":"rhode island","sc":"south carolina","sd":"south dakota","tn":"tennessee","tx":"texas","ut":"utah","vt":"vermont","va":"virginia","wa":"washington","wv":"west virginia","wi":"wisconsin","wy":"wyoming"}
states =

KalebNyquist

import requests
import json
import pandas as pd


def airtable_download(table, params_dict={}, api_key=None, base_id=None, record_id=None):
    """Makes a request to Airtable for all records from a single table.
        Returns data in dictionary format.

    Keyword Arguments:

KalebNyquist

def find_locations_in_pandas_dataframe(dataframe, search_term, starts_with_search_term=False):
    """ Returns an ordered list of (dataframe column, dataframe row, specific string) index values where `search_term` is 
    found in Pandas `dataframe` string data.
    
    Keyword arguments:
    starts_with_search_term: if set to True, then returns only strings that start with `search_term` 
      i.e., "Re" in "Rebecca" but not "González, Rebecca"
      
    Source: https://gist.github.com/KalebNyquist/6781634b4ad307576046352696d2d194
    """

KalebNyquist

import json
upload_data = json.dumps(upload_dict)
headers = {
    "Authorization" : "Bearer INSERT AIRTABLE USER API KEY HERE",
    'Content-Type': 'application/json',
}
URL = 'https://api.airtable.com/v0/INSERT AIRTABLE DOC KEY HERE/Online%20Media%20Hits'
response = requests.post(URL, headers=headers, data=upload_data)

KalebNyquist

def convert_authors_to_ids(authors):
    author_ids = []
    for author in authors:
        author_ids.append(author_dict[author])
    return author_ids

upload_dict = {
        "fields": {
            "URL" : article.url,
            "Title" : article.title,

KalebNyquist

author_dict = create_author_dict()

for author in article.authors:
    if author in list(author_dict.keys()):
        print("Author already exists")
    else:
        print(add_new_author(author))
        
author_dict = create_author_dict()