This page aims to describe how to improve the features of your basic donut plot. It shows how to custom color, labels, and wedges. These first line of code are common to every next examples
# library import matplotlib.pyplot as plt # create data names='groupA', 'groupB', 'groupC', 'groupD', size=[12,11,3,30] # Create a circle for the center of the plot my_circle=plt.Circle( (0,0), 0.7, color='white') <pre>
- Color
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- #161 custom color | donut
- #161 Custom color | donut
- #161 Custom color | donut
Here I propose 3 examples allowing to understand how to custom the color of your donut chart. On the first example (left), colors are provided one by one. Note that if you don’t give enough color, they will be recycled (middle). The last chart show how to import a palette using the Palettable utility. See the matplotlib color page for more info!
# Give color names plt.pie(size, labels=names, colors=['red','green','blue','skyblue']) p=plt.gcf() p.gca().add_artist(my_circle) plt.show() # Custom colors --> colors will cycle plt.pie(size, labels=names, colors=['red','green']) p=plt.gcf() p.gca().add_artist(my_circle) plt.show() from palettable.colorbrewer.qualitative import Pastel1_7 plt.pie(size, labels=names, colors=Pastel1_7.hex_colors) p=plt.gcf() p.gca().add_artist(my_circle) plt.show()
- Labels
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- #161 custom labels of donut plot
# Label distance: gives the space between labels and the center of the pie plt.pie(size, labels=names, labeldistance=0.45) p=plt.gcf() p.gca().add_artist(my_circle) plt.show() # Label color plt.rcParams['text.color'] = 'red' plt.pie(size, labels=names) p=plt.gcf() p.gca().add_artist(my_circle) plt.show()
- Wedges
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# Custom wedges plt.pie(size, labels=names, wedgeprops = { 'linewidth' : 7, 'edgecolor' : 'white' }) p=plt.gcf() p.gca().add_artist(my_circle) plt.show()