IPython notebooks + geodata

IPython notebooks (ie: Jupyter) seem like an important innovation for me. A really nice web-native REPL for exploratory programming, including decent visualization of data. Plot data in particular, graphing with matplotlib. It’s quite capable, I think approaching what people do with R.

So I’ve been asking around about adding geodata capability to Jupyter. My first thought was a visualizer for GeoJSON, but I’ve learned now there are other approaches. I asked SeanG and he pointed me to a couple of things, which lead to some other things.

Summary: there are several geodata visualization packages that work with IPython. Some integrate with matplotlib and some are standalone geographic tools. None of them quite worked right for me after just a few minutes tinkering, but several seem worth the effort to get working.

folium is closest to what I’m looking for. It’s a Leaflet wrapper for Python with baked in support for geojson, various Stamen tilesets, etc. It seems to support inline plots in IPython notebooks but I couldn’t figure it out, there’s been some discussion that it should work. It doesn’t use matplotlib.

leafletwidget is another Leaflet-based map making tool, here’s an example notebook screenshot. It’s not packaged on PyPI and hasn’t been updated in awhile, looks like it’d take some effort to figure out how to use. But it might be a good basis for building my own thing.

mpleaflet lets you visualize matplotlib plots using Leaflet to add a geographical basemap. It looks very promising but I had some trouble using it out of the box. The key thing here is adding map capability to matplotlib, the primary charting visualization library IPython users use already. Seems good for data visualization but less map-specific.

matplotlib basemap toolkit is a more low-level tool for making maps with matplotlib. No Leaflet or otherwise fancy slippy map, it’s just helping you do map projections and draw geographic data in a single static image. Might be nice for one off visualizations!

cartopy is another non-leaflet map maker in python using matplotlib. It has support for using GoogleTiles. IPython support is not mentioned in the docs but it seems to work.

mpld3 has nothing to do with maps but is neat. It adds D3 rendering for matplotlib plots in your notebook, so you have fancy interactive javascript instead of a static image. Works great right out of the box. I want something that works like this for geodata. See also mplexporter, which seems to handle getting the data out of matplotlib.

GeoPandas is a bridge between Pandas and geographic data, including shapeley/fiona support. It uses descartes too, which is a bridge from geodata to matplotlib plots.