Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Physics
Chemistry
Biology
Mathematics
English
Economics
Psychology
Social Studies
Fashion Studies
Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Plot multiple columns of Pandas dataframe on the bar chart in Matplotlib
To plot multiple columns of a Pandas dataframe on the bar chart in matplotlib, we can take the following steps −
Make a dictionary of different keys, between 1 to 10 range.
Make a dataframe using Pandas dataframe.
Create a bar plot, using the plot() method with kind=”bar”.
To display the figure, use the show() method.
Example
import pandas as pd
from matplotlib import pyplot as plt
plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True
d = {
'y=1/x': [1 / i for i in range(1, 10)],
'y=x': [i for i in range(1, 10)],
'y=x^2': [i * i for i in range(1, 10)],
'y=x^3': [i * i * i for i in range(1, 10)]
}
df = pd.DataFrame(d)
df.plot(kind='bar')
plt.show()Output
Updated on: 09-Apr-2021
452 Views
Advertisements