Create Polar Bar Chart with Python Matplotlib

Introduction

In this lab, we will learn how to create a polar bar chart using Python Matplotlib library. We will create a chart that displays the distribution of values across different angles.

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Import necessary libraries

We will start by importing the necessary libraries. In this lab, we will use Numpy and Matplotlib.

import numpy as np
import matplotlib.pyplot as plt

Set random seed

We will set a random seed so that the results will be reproducible.

np.random.seed(19680801)

Define data

We will define the data for the chart. We will generate 20 random values for radii and angles.

N = 20
theta = np.linspace(0.0, 2 * np.pi, N, endpoint=False)
radii = 10 * np.random.rand(N)
width = np.pi / 4 * np.random.rand(N)
colors = plt.cm.viridis(radii / 10.)

Create a polar bar chart

We will create a polar bar chart using the projection='polar' parameter.

ax = plt.subplot(projection='polar')
ax.bar(theta, radii, width=width, bottom=0.0, color=colors, alpha=0.5)

Display the chart

We will display the chart using the plt.show() function.

plt.show()

Summary

In this lab, we learned how to create a polar bar chart using Python Matplotlib library. We used Numpy and Matplotlib libraries to generate random data and create a polar bar chart. We also learned how to display the chart using the plt.show() function.