Radar Chart
Radar Chart is ideal chart that displays multivariate data in form of two- dimensional chart. Each variable is present on an axis that radiates on an axis radiating from the center.
Python3
import matplotlib.pyplot as plt import numpy as np # Example: Radar Chart categories = [ 'A' , 'B' , 'C' , 'D' , 'E' ] values = [ 4 , 2 , 5 , 3 , 1 ] angles = np.linspace( 0 , 2 * np.pi, len (categories), endpoint = False ) values + = values[: 1 ] # Ensure that angles array has the same length as values angles = np.concatenate((angles, [angles[ 0 ]])) plt.polar(angles, values, marker = 'o' ) plt.title( 'Radar Chart Example' ) plt.show() |
Output:
Basic Python Charts
Python Chart is part of data visualization to present data in a graphical format. It helps people understand the significance of data by summarizing and presenting huge amounts of data in a simple and easy-to-understand format and helps communicate information clearly and effectively.
In this article, we will be discussing various Python Charts that help to visualize data in various dimensions such as Histograms, Column charts, Box plot charts, Line charts, and so on.
Table of Content
- Python Charts for Data Visualization
- Histogram
- Column Chart
- Box plot chart
- Pie Chart
- Scatter Chart
- Line Chart
- Area Chart
- Heatmap
- Bubble Chart
- Radar Chart
- Conclusion