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Choropleth Mapping with Folium

A Leaflet.js map created with Folium and a custom D3 threshold scale, with data bound between the Pandas DataFrame and the TopoJSON. See the Gist for the python code to generate the dataframe. The map was generated with the following Python code:

map_3 = folium.Map(location=[40, -99], zoom_start=4)
map_3.geo_json(geo_path=county_geo, data_out='data3.json', data=df,
               columns=['GEO_ID', 'Median_Household_Income_2011'],
               key_on='feature.id',
 fill_color='PuRd', line_opacity=0.3,

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Folium and PySAL

This gist demonstrates the combined use of the Python Spatial Analysis Library PySAL together with Folium.

Author: Serge Rey

What is demonstrated

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# -*- mode: ruby -*-
# vi: set ft=ruby :

MACHINE_NAME = "PYVM"

Vagrant.configure("2") do |config|
  #config.vm.box = "1404amd64"
  config.vm.box = "base"
#  config.vm.box_url = "http://cloud-images.ubuntu.com/vagrant/trusty/current/trusty-server-cloudimg-amd64-vagrant-disk1.box"

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#!/usr/bin/env ruby
require 'time'
require 'erb'
require 'cgi'

filename = "~/.gitlogger"
## File format, One per line
# Repo Name:/path/to/base
dayone = false # log to day one? (true or false)
textlog = false # "~/Dropbox/nvALT2.2/GitLogger.md" # set to false to disable

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#!/usr/bin/python
# -*- coding: utf-8 -*-
# Pandoc filter that grabs the BibTeX code block from each note file
# and then uses bibtexparser to add a "short title" entry in the "note" field,
# appending finished BibTeX entry to a bibliography file.

from pandocfilters import toJSONFilter, CodeBlock
# https://github.com/sciunto/python-bibtexparser
import bibtexparser

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library(reticulate)
use_condaenv("pysal2")
pysal <- import("pysal")
np <- import("numpy")
pth <- pysal$examples$get_path("stl_hom.txt")
f <- pysal$open(pth)
col <- f$by_col("HR8893")
y <- np$array(col)
w <- pysal$open(pysal$examples$get_path("stl.gal"))$read()
mi <- pysal$Moran(y, w, two_tailed=FALSE)