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 numbersdata1 = [10, 20, 50, 30, 15] # convert the list to a pandas seriess1 = pd.Series(data1) # creates a figure of size 20 inches wide and 10 inches highs1.plot(figsize=(20, 10)) |
Output:
Example 2
Python3
# import the pandas moduleimport pandas as pd # Creating a pandas dataframedf = pd.DataFrame({'names': ['A', 'B', 'C', 'D'], 'val': [10, 45, 30, 20]}) # creates a bar graph of size 15 inches wide and 10 inches highdf.plot.bar(x='names', y='val', rot=0, figsize=(15, 10)) |
Output :
Example 3
Python3
# import the pandas moduleimport pandas as pd # Creating a pandas dataframe with indexdf = 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 :
