Open In App

Change figure size in Pandas - Python

Last Updated : 11 Dec, 2020
Comments
Improve
Suggest changes
Like Article
Like
Report

Prerequisites: Pandas

The size of a plot can be modified by passing required dimensions as a tuple to the figsize parameter of the plot() method. it is used to determine the size of a figure object.

Syntax:

figsize=(width, height)

Where dimensions should be given in inches.

Approach

  • Import pandas.
  • Create or load data
  • Call the plot() function with a figsize parameter along with dimensions.

Example 1

Python3
import pandas as pd  # import the pandas module

# python list of numbers
data1 = [10, 20, 50, 30, 15]

# convert the list to a pandas series
s1 = pd.Series(data1)  

# creates a figure of size 20 inches wide and 10 inches high
s1.plot(figsize=(20, 10))

Output:

Example 2

Python3
# import the pandas module
import pandas as pd  

# Creating a pandas dataframe
df = pd.DataFrame({'names': ['A', 'B', 'C', 'D'], 'val': [10, 45, 30, 20]})

# creates a bar graph of size 15 inches wide and 10 inches high
df.plot.bar(x='names', y='val', rot=0, figsize=(15, 10))

Output :

Example 3

Python3
# import the pandas module
import pandas as pd

# Creating a pandas dataframe with index
df = pd.DataFrame({'value': [3.330, 4.87, 5.97]},
                  index=['Item 1', 'Item 2', 'Item 3'])

df.plot.pie(y='value', figsize=(5, 5))

Output :


Next Article
Practice Tags :

Similar Reads