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We will create a pie and a donut chart through the pie method and show how to label them with a legend as well as with annotations. As usual we would start by defining the imports and create a figure with subplots.
So use it like: wedges, labels, autopct = ax1.pie(sizes, labels=groups, autopct='%1.1f%%', shadow=False, startangle=90) fix_labels(autopct, sepfactor=3) fix_labels(labels, sepfactor=2) This works well as-written if you only have a few labels overlapping.
12 kwi 2021 · In this tutorial, we'll go over how to plot a Pie Chart in Python with Matplotlib. We'll cover how to plot simple charts, as well as how to customize them, with examples.
Make a pie charts using pie. This example demonstrates some pie chart features like labels, varying size, autolabeling the percentage, offsetting a slice and adding a shadow.
A tutorial on creating pie charts in python with Matplotlib, including adding labels, changing the styles, and using custom colors.
Pie chart with Matplotlib. The examples below should guide you through the pie() function usage. It starts basics and then show how to add labels, customize colors and more.
Example. Pull the "Apples" wedge 0.2 from the center of the pie: import matplotlib.pyplot as plt import numpy as np y = np.array ( [35, 25, 25, 15]) mylabels = ["Apples", "Bananas", "Cherries", "Dates"] myexplode = [0.2, 0, 0, 0] plt.pie (y, labels = mylabels, explode = myexplode) plt.show ()
