afontenot

/* NOTES:
 *
 * Obviously, for this to work, you will need to have an emoji font installed
 * locally. You will need to block e.g. static-cdn.mastodon.social/emoji in
 * your ad blocker of choice. I suggest uBlock for this.
 *
 * This uBlock filter will work around uBlock's "hide placeholders" option:
 * ||static-cdn.mastodon.social/emoji/*$empty
 *
 * Furthermore to load the background image, you'll need to upload it to your

afontenot

#' Description
#' This file runs a live election-night forecast based on The Economist's pre-election forecasting model
#' available at projects.economist.com/us-2020-forecast/president.
#' It is resampling model based on https://pkremp.github.io/update_prob.html.
#' This script does not input any real election results! You will have to enter your picks/constraints manually (scroll to the bottom of the script).
#' 
#' Licence
#' This software is published by *[The Economist](https://www.economist.com)* under the [MIT licence](https://opensource.org/licenses/MIT). The data generated by *The Economist* are available under the [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/).
#' The licences include only the data and the software authored by *The Economist*, and do not cover any *Economist* content or third-party data or content made available using the software. More information about licensing, syndication and the copyright of *Economist* content can be fou

afontenot

/* ==UserStyle==
@name           Github redesign fixes
@namespace      github.com/openstyles/stylus
@version        1.5.5
@description    Fixes various issues with Github's redesign
@author         afontenot/LunarTwilight
@preprocessor   less
@var            color background "Readme header background color" #f1f8ff
@var            color border "Readme header border color" #e6e4e4
@var            text padding "Amount of padding used on the header" 18vw

afontenot

import cartopy.crs as ccrs
import cartopy.io.shapereader as shpreader
import matplotlib.pyplot as plt
from shapely.ops import polylabel

shapename="admin_1_states_provinces_lakes_shp"
states_shp = shpreader.natural_earth(
    resolution='50m', 
    category='cultural', 
    name=shapename