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:

Radar Chart

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

Similar Reads

Python Charts for Data Visualization

In Python there are number of various charts charts that are used to visualize data on the basis of different factors. For exploratory data analysis, reporting, or storytelling we can use these charts as a fundamental tool. Consider this different given Datasets for which we will be plotting different charts:...

Histogram

The histogram represents the frequency of occurrence of specific phenomena which lie within a specific range of values and are arranged in consecutive and fixed intervals. In the below code histogram is plotted for Age, Income, Sales, So these plots in the output show frequency of each unique value for each attribute....

Column Chart

...

Box plot chart

A column chart is used to show a comparison among different attributes, or it can show a comparison of items over time....

Pie Chart

...

Scatter Chart

A box plot is a graphical representation of statistical data based on the minimum, first quartile, median, third quartile, and maximum. The term “box plot” comes from the fact that the graph looks like a rectangle with lines extending from the top and bottom. Because of the extending lines, this type of graph is sometimes called a box-and-whisker plot....

Line Chart

...

Area Chart

A pie chart shows a static number and how categories represent part of a whole the composition of something. A pie chart represents numbers in percentages, and the total sum of all segments needs to equal 100%....

Heatmap

...

Bubble Chart

A scatter chart shows the relationship between two different variables and it can reveal the distribution trends. It should be used when there are many different data points, and you want to highlight similarities in the data set. This is useful when looking for outliers and for understanding the distribution of your data....

Radar Chart

...

Conclusion

A Line Charts are effective in showing trends over time. By using line plots you can connect data points with straight lines that make it easy to visualize the overall dataset....