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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.
A tutorial on creating pie charts in python with Matplotlib, including adding labels, changing the styles, and using custom colors.
1 wrz 2020 · How do I create a pie chart in Matplotlib using a dataframe, and use the categorical variables in a column as labels?
24 lip 2022 · 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.
14 kwi 2024 · Steps to customize pie plot. Import necessary libraries: import pandas as pd and import matplotlib.pyplot as plt. Prepare your data in a pandas DataFrame. Plot the pie chart using df.plot(kind='pie', ...). Customize labels, explode, and other parameters as needed.
Add labels to the pie chart with the labels parameter. The labels parameter must be an array with one label for each wedge: Example. A simple pie chart: import matplotlib.pyplot as plt import numpy as np y = np.array ( [35, 25, 25, 15]) mylabels = ["Apples", "Bananas", "Cherries", "Dates"] plt.pie (y, labels = mylabels) plt.show () Result:
Pie chart with plotly express¶ Plotly Express is the easy-to-use, high-level interface to Plotly, which operates on a variety of types of data and produces easy-to-style figures. In px.pie, data visualized by the sectors of the pie is set in values. The sector labels are set in names.
