Column Chart
A column chart is used to show a comparison among different attributes, or it can show a comparison of items over time.
Python3
# Dataframe of previous code is used here # Plot the bar chart for numeric values # a comparison will be shown between # all 3 age, income, sales df.plot.bar() # plot between 2 attributes plt.bar(df[ 'Age' ], df[ 'Sales' ]) plt.xlabel( "Age" ) plt.ylabel( "Sales" ) 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