How to check if dataframe is empty – Pandas : 4 Ways to check if a DataFrame is empty in Python

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How to check if a dataframe is empty in Python ?

Python check if dataframe is empty: In this article we will see different ways to check if a dataframe is empty in python.

Approach-1 : Check whether dataframe is empty using Dataframe.empty :

How to check if dataframe is empty: There is an empty attribute provided by dataframe class in python.

Syntax - Dataframe.empty

If it returns True then the dataframe is empty.

# Program :

import pandas as pd

# empty Dataframe created
dfObj = pd.DataFrame(columns=['Date', 'UserName', 'Action'])

# Checking if Dataframe is empty or not
# using empty attribute
if dfObj.empty == True:
    print('DataFrame is empty')
else:
    print('DataFrame is not empty')
Output :
DataFrame is not empty

Even if it contains NaN then also it returns the data frame is empty.

# Program :

import pandas as pd
import numpy as np

# List of Tuples
students = [(np.NaN, np.NaN, np.NaN),
            (np.NaN, np.NaN, np.NaN),
            (np.NaN, np.NaN, np.NaN)
           ]

# Dataframe object created
dfObj = pd.DataFrame(columns=['Your Name', 'Your Age', 'Your City'])

# Checking if Dataframe is empty or not
# using empty attribute
if dfObj.empty == True:
    print('DataFrame is empty')
else:
    print('DataFrame is not empty')
Output :
DataFrame is empty

Approach-2 : Check if dataframe is empty using Dataframe.shape :

There is an shape attribute provided by dataframe class in python.

Syntax- Dataframe.shape

shape attribute return a tuple containing dimension of dataframe. Like if in the dataframe there is 3 rows and 4 columns then it will return (3,4). If the dataframe is empty then it will return 0 at 0th index.

# Create an empty Dataframe
dfObj = pd.DataFrame(columns=['Date', 'UserName', 'Action'])
# Check if Dataframe is empty using dataframe's shape attribute
if dfObj.shape[0] == 0:
    print('DataFrame is empty')
else:
    print('DataFrame is not empty')
Output :
DataFrame is empty

Approach-3 : Check if dataframe is empty by checking length of index :

Dataframe.index represents indices of Dataframe. If the dataframe is empty then size will be 0.

# Program :

import pandas as pd
import numpy as np

# empty Dataframe object created
dfObj = pd.DataFrame(columns=['Date', 'UserName', 'Action'])
# checking if length of index is 0 or not
if len(dfObj.index.values) == 0:
    print('DataFrame is empty')
else:
    print('DataFrame is not empty')
Output :
DataFrame is empty

Approach-4 : Check if dataframe is empty by using len on Datafarme :

Directly by calling the len() function we can also check the dataframe is empty or not. If the length of dataframe is 0 then it the dataframe is empty.

# Program :

import pandas as pd
import numpy as np

# empty Dataframe object created
dfObj = pd.DataFrame(columns=['Date', 'UserName', 'Action'])

# checking if length of dataframe is 0 or not
# by calling len()
if len(dfObj) == 0:
    print('DataFrame is empty')
else:
    print('DataFrame is not empty')
Output :
DataFrame is not empty

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