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Legendgrams are distributional visualizations for map classification schemes
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pysal/legendgram
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This is a small bit of unittested, reproducible code to provide legendgrams.Legendgrams are map legends that visualize the distribution of observations by color in a given map:
Legendgrams are distributed by PySAL, an open source cross-platform library of spatial analysis functionswritten in Python. It is intended to support the development of high levelapplications for spatial analysis.
To use legendgrams, simply install the package using pip:
$ pip install legendgram
Then, apply the function to the figure/axis you want to have a legendgram:
>>>importmapclassifyasmpc,geopandasasgpd,matplotlib.pyplotasplt>>>fromlegendgramimportlegendgram>>>data=gpd.read_file(ps.examples.get_path('south.shp'))>>>data.crs= {'init':'epgs:4269'}>>>data.to_crs(epsg=5070)>>>f,ax=plt.subplots()>>>data.plot('DV80',k=10,ax=ax,scheme='Quantiles')>>>bins=mpc.Quantiles(data['DV80'].values,k=10).bins>>>fromlegendgramimportlegendgram>>>importpalettable.matplotlibaspalmpl>>>legendgram(f,ax,data['DV80'],bins,pal=palmpl.Viridis_10,legend_size=(.5,.2),# legend size in fractions of the axisloc='upper left'# matplotlib-style legend locationsclip= (2,10)# clip the displayed range of the histogram )
An example notebook isprovided as well.
This is licensed under the 3-Clause BSD license.Refer to the license file for more details.