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.

Nov 14, 2021 · As we know that the percentage shown times the sum of all actual values must be the actual value, we can define this as a function and supply this function to plt.pie using the autopct keyword. a = numpy.round(val/100.*sizes.sum(), 0) return a. …

Let's explore how to use Matplotlib function pie() to draw pie charts with customized colors, text, and percent labels. You'll learn to use parameters such as autopct, textprops, colors, startangle, counterclock, labeldistance, pctdistance, shadow, and explode.

Jan 2, 2025 · Matplotlib API has pie() function in its pyplot module which create a pie chart representing the data in an array. let’s create pie chart in python. Syntax: matplotlib.pyplot.pie(data, explode=None, labels=None, …

A tutorial on creating pie charts in python with Matplotlib, including adding labels, changing the styles, and using custom colors.

Plot a pie chart of animals and label the slices. To add labels, pass a list of labels to the labels parameter. Each slice of the pie chart is a patches.Wedge object; therefore in addition to the customizations shown here, each wedge can be customized using the wedgeprops argument, as demonstrated in Nested pie charts.

Nov 8, 2013 · My problem is that I have One big slice 88.4%, the second largest slice is 10.6%, and the other slices are 0.7 and 0.3%. The labels around the pie don't appear (except for the biggest slice) and neither the percentage values for the smaller slices. So I guess I can add a legend showing the names and the values. But I haven't found out how...

Add labels to the pie chart with the labels parameter. The labels parameter must be an array with one label for each wedge: A simple pie chart: As mentioned the default start angle is at the x-axis, but you can change the start angle by specifying a startangle parameter.

Apr 15, 2021 · import numpy as np import matplotlib.pyplot as plt fig, ax = plt.subplots(figsize=(10, 7), subplot_kw=dict(aspect="equal")) data = df['percent'] labels = ['0~10%', '10~20%', '20~30%', '30~40%', '40~50%', '50~60%','60~70%'] colors = ['#fad9c1','#03396c', '#3b5998', '#63ace5', '#adcbe3','#e3f0ff'] def func(pct, allvals): absolute = int(round(pct ...

Feb 25, 2024 · Explains how to draw pie charts in Matplotlib. Detailed explanations of how to customize pie chart labels, percentages, changing element coordinates, colors, color maps, thickness, text, and more.