Change figure size in Pandas – Python Last Updated : 11 Dec, 2020 Improve Improve Like Article Like Save Share 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 : Like Article Suggest improvement Previous Convert Floats to Integers in a Pandas DataFrame Next How to check whether users internet is on or off using Python? Share your thoughts in the comments Add Your Comment Please Login to comment...