Matplotlib
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Adding multiple plots with different colorsChanging background color of figureChanging color based on valueChanging line color of a plotChanging the background color of a plotChanging the color of axesChanging the color of tick labelsDrawing semi-transparent plotsFilling in the area above a curveFilling in the area underneath a curveGetting specific color value from a color mapInverting color mapsMaking the background figure transparentShading an area
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Changing color based on value in Matplotlib
schedule Aug 12, 2023
Last updated local_offer
Tags Python●Matplotlib
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To change the color of a data point based on its value in Matplotlib:
x = [1,2,3]y = [4,5,6]z = [100, 200, 300]plt.scatter(x, y, c=z, cmap=plt.cm.gray_r, s=200, edgecolor='black')plt.show()
Here, we used gray_r to make the larger value darker in color (r stands for reverse).
This gives you the following:
Matplotlib has numerous color maps built into it, like plt.cm.autumn:
x = [1,2,3]y = [4,5,6]z = [100, 200, 300]plt.scatter(x, y, c=z, cmap=plt.cm.autumn_r, s=200)plt.show()
This gives you the following:
Published by Isshin Inada
Edited by 0 others
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