| # TAKEN FROM HERE https://gist.github.com/benbalter/5858851 | |
| # Bulk convert shapefiles to geojson using ogr2ogr | |
| # For more information, see http://ben.balter.com/2013/06/26/how-to-convert-shapefiles-to-geojson-for-use-on-github/ | |
| # Note: Assumes you're in a folder with one or more zip files containing shape files | |
| # and Outputs as geojson with the crs:84 SRS (for use on GitHub or elsewhere) | |
| #geojson conversion | |
| function shp2geojson() { |
| /* Vedant Misra (vedantmisra.com) (github.com/vedant) | |
| * | |
| * Script for exporting Google Keep note files. | |
| * | |
| * This does not handle attachments or checklists, only note files. Downloads | |
| * each note to a .txt file named for the note's title. | |
| * | |
| * To use this, go to https://drive.google.com/keep/ and wait for the page to | |
| * fully load all of your saved notes; scroll to the bottom to confirm they're | |
| * loaded. Then paste the below in your URI bar, go to the start of the line, |
| <html> | |
| <head> | |
| <title>A Leaflet map!</title> | |
| <link rel="stylesheet" href="http://cdn.leafletjs.com/leaflet-0.7.3/leaflet.css"/> | |
| <script src="http://cdn.leafletjs.com/leaflet-0.7.3/leaflet.js"></script> | |
| <style> | |
| #map{ width: 900px; height: 500px; } | |
| </style> | |
| </head> | |
| <body> |
| <html> | |
| <head> | |
| <title>A Leaflet map!</title> | |
| <link rel="stylesheet" href="http://cdn.leafletjs.com/leaflet-0.7.3/leaflet.css"/> | |
| <script src="http://cdn.leafletjs.com/leaflet-0.7.3/leaflet.js"></script> | |
| <style> | |
| #map{ width: 900px; height: 500px; } | |
| </style> | |
| </head> | |
| <body> |
| # Example of downloading all data from a GeoServer WFS server | |
| # and loading it into a PostGIS database. Use with caution | |
| # as you could put a lot of load on someone's server if they | |
| # host a lot of data which might make them sad. | |
| # In response to: http://underdark.wordpress.com/2012/09/26/wfs-to-postgis-in-3-steps/ | |
| BASEURL="http://data.wien.gv.at/daten/geoserver/ows?service=WFS&version=1.1.0" | |
| for LAYERNAME in `wget -qO- $BASEURL"&request=GetCapabilities" | xpath -q -e "//FeatureType/Name/text()"` ; do | |
| PARTS=(${LAYERNAME//:/ }) |
| from facepy import GraphAPI | |
| import json | |
| group_id = "YOUR_GROUP_ID" | |
| access_token = "YOUR_ACCESS_TOKEN" | |
| graph = GraphAPI(access_token) | |
| # https://facepy.readthedocs.org/en/latest/usage/graph-api.html | |
| data = graph.get(group_id + "/feed", page=False, retry=3, limit=800) |
| # Example of downloading all data from a GeoServer WFS server | |
| # and loading it into a PostGIS database. Use with caution | |
| # as you could put a lot of load on someone's server if they | |
| # host a lot of data which might make them sad. | |
| # In response to: http://underdark.wordpress.com/2012/09/26/wfs-to-postgis-in-3-steps/ | |
| BASEURL="http://data.wien.gv.at/daten/geoserver/ows?service=WFS&version=1.1.0" | |
| for LAYERNAME in `wget -qO- $BASEURL"&request=GetCapabilities" | xpath -q -e "//FeatureType/Name/text()"` ; do | |
| PARTS=(${LAYERNAME//:/ }) |
A Leaflet.js map created with Folium and the default D3 threshold scale. See the Gist for the python code to generate the dataframe. The map was generated with the following Python code:
map.geo_json(geo_path=state_geo, data=state_data,
columns=['State', 'Unemployment'],
threshold_scale=[5, 6, 7, 8, 9, 10],
key_on='feature.id',
fill_color='BuPu', fill_opacity=0.7, line_opacity=0.5,
legend_name='Unemployment Rate (%)',
reset=True)