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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.
24 sie 2021 · The label inside the plot was a result of radius=1.5. labeldistance=None removes the other labels since there is a legend. If necessary, specify figsize= (width, height) inside data.plot (...)
Labels. 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.
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.
This post describes how to build a pie chart with Python. It starts with basic examples and then describes the most usual customisation like adding proper labels and colors.
