Get Size of the Pandas DataFrame

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

Output: