Get Size of the Pandas DataFrame

Last Updated : 28 Nov, 2021

In this article, we will discuss how to get the size of the Pandas Dataframe using Python.

Method 1 : Using df.size

This will return the size of dataframe i.e. rows*columns

Syntax:

dataframe.size

where, dataframe is the input dataframe

Example: Python code to create a student dataframe and display size

Python3

# import pandas module 
import pandas as pd 
  
# create a dataframe 
# with 5 rows and 3 columns 
data = pd.DataFrame({ 
    'name': ['sravan', 'ojsawi', 'bobby', 'rohith', 'gnanesh'], 
    'subjects': ['java', 'php', 'html/css', 'python', 'R'], 
    'marks': [98, 90, 78, 91, 87] 
}) 
  
# display dataframe 
print(data) 
  
# get the size 
data.size 

Output:

Method 2 : Using df.shape

This function will return the number of rows and columns in the dataframe

Syntax:

dataframe.shape

where, dataframe is the input dataframe

Example: Python program to get the shape of the dataframe

Python3

# import pandas module 
import pandas as pd 
  
# create a dataframe 
# with 5 rows and 3 columns 
data = pd.DataFrame({ 
    'name': ['sravan', 'ojsawi', 'bobby', 'rohith', 'gnanesh'], 
    'subjects': ['java', 'php', 'html/css', 'python', 'R'], 
    'marks': [98, 90, 78, 91, 87] 
}) 
  
# display dataframe 
print(data) 
  
# get the shape 
data.shape 

Output:

Method 3: Using df.ndim

This will return the number of dimensions present in the dataframe.

Syntax:

data.ndim

where, dataframe is the input dataframe

Example: Python program to get the dimension of the dataframe

Python3

# import pandas module 
import pandas as pd 
  
# create a dataframe 
# with 5 rows and 3 columns 
data = pd.DataFrame({ 
    'name': ['sravan', 'ojsawi', 'bobby', 'rohith', 'gnanesh'], 
    'subjects': ['java', 'php', 'html/css', 'python', 'R'], 
    'marks': [98, 90, 78, 91, 87] 
}) 
  
# display dataframe 
print(data) 
  
# get the dimensions 
data.ndim 