Stephan Hügel urschrei

The contents of this gist now reside in their own repo at https://github.com/urschrei/router_comparison!

I hereby claim:

I am urschrei on github.
I am shugel (https://keybase.io/shugel) on keybase.
I have a public key whose fingerprint is 981F 92FE DC9A 0F9B 010E 43D2 C6CA 03B7 BB85 14EB

To claim this, I am signing this object:

	# -- coding: utf-8 --

	# Requires PIL (pillow) and NumPy
	# Copyright (C) Stephan Hügel, 2016
	# License: MIT

	import sys
	from PIL import Image
	import numpy as np

	use std::thread;
	use std::sync::mpsc::{ channel, Sender };

	enum Wrapped {
	A(f64),
	B(f64),
	}

	fn produce_a(sender: Sender<Wrapped>) {
	for i in 0 .. 5 {

	GIT_PS1_SHOWDIRTYSTATE=1
	GIT_PS1_SHOWSTASHSTATE=1
	GIT_PS1_SHOWUNTRACKEDFILES=1
	GIT_PS1_SHOWUPSTREAM="verbose"
	export GIT_PS1_SHOWDIRTYSTATE
	export GIT_PS1_SHOWSTASHSTATE
	export GIT_PS1_SHOWUNTRACKEDFILES
	export GIT_PS1_SHOWUPSTREAM
	PS1='\[\e[32m\]\u\[\e[00m\]:\[\e[34m\]\w\[\e[00m\]\[\e[35m\]$(__git_ps1 " (%s)")\[\e[00m\] $ '
	export PS1

	#!/usr/bin/env python
	# -- coding: utf-8 --

	"""
	output geojson.py
	Created by Stephan Hügel on 2015-02-26

	I can never remember how to efficiently do this, so I'm making a gist.
	This should be easily adaptable to use with LineStrings, Polygons etc by
	altering the 'geometry' dict accordingly

	import pandas as pd
	import numpy as np
	import matplotlib.pyplot as plt

	# this data won't work (it's only for one year), it's only illustrative
	df = pd.DataFrame({
	'Age': {0: 32, 1: 38, 2: 45, 3: 39, 4: 44},
	'County': {0: 'Bexar', 1: 'Tarrant', 2: 'Harris', 3: 'Nueces', 4: 'Kerr'},
	'Date Executed': {
	0: '10/28/2014',


	# coding: utf-8

	# In[147]:

	from Circles.circles import circle
	from mpl_toolkits.basemap import Basemap
	import matplotlib.pyplot as plt
	from matplotlib.collections import PatchCollection
	from shapely.geometry import Polygon, MultiPolygon, Point, LineString

	import math


	def calculate_polygons(startx, starty, endx, endy, radius):
	"""
	Calculate a grid of hexagon coordinates of the given radius
	given lower-left and upper-right coordinates
	Returns a list of lists containing 6 tuples of x, y point coordinates
	These can be used to construct valid regular hexagonal polygons