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I'd like to superimpose one plot over another (they are polygons, really in some lat/lon space, using geopandas, but the plot is simply derived from matplotlib)
I have:
figZ, axZ = plt.subplots(1, figsize=(11,8.5))
Sfig = X.plot(ax=axZ, color='white', edgecolor='black', lw=0.7)
Y.plot(ax=axZ, color='white', edgecolor='black', lw=0.7, alpha=0.3)
How do I set Sfig's color to "no-fill" instead of white? The way it is now it "blurs" my Sfig image (X.plot) by the alpha of the Y.plot one. How do I set "color" to actually transparent?
844
Hide the Whitespaces and Borders in Matplotlib Figure To get rid of whitespace around the border, we can set bbox_inches='tight' in the savefig() method. Similarly, to remove the white border around the image while we set pad_inches = 0 in the savefig() method.
In the current versions of the IPython notebook and jupyter notebook, it is not necessary to use the %matplotlib inline function. As, whether you call matplotlib. pyplot. show() function or not, the graph output will be displayed in any case.
I don't expect upvotes, but this is what I found as solution. I'll vote up better ones if they exist:
Sfig = X.plot(ax=axZ, facecolor="none",
edgecolor='black', lw=0.7)
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