Home » Python » Python Programs

How to check whether a Pandas DataFrame is empty?

Given a DataFrame, we have to check whether a Pandas DataFrame is empty.
Submitted by Pranit Sharma, on April 29, 2022

Pandas is a special tool that allows us to perform complex manipulations of data effectively and efficiently. Inside pandas, we mostly deal with a dataset in the form of DataFrame. DataFrames are 2-dimensional data structures in pandas. DataFrames consists of rows, columns, and the data. A certain operation can be performed on DataFrames.

Problem statement

Given a DataFrame, we have to check whether a Pandas DataFrame is empty.

Checking whether a Pandas DataFrame is empty

In pandas, we can check if a DataFrame is empty or not by using the following syntax:

DataFrame.empty()

By using the above syntax, we will get a Boolean value i.e., True if the DataFrame is empty and False if a DataFrame is not empty.

import pandas as pd

Let us understand with the help of an example.

Python program to check whether a Pandas DataFrame is empty

# Importing pandas package
import pandas as pd

# Creating an Empty dictionary
d = {}

# Creating an Empty DataFrame first
df=pd.DataFrame(d)

# Check if DataFrame is empty or 
# not DataFrame
result = df.empty

# Display result
print(result)

Output

The output of the above program is:

True

Python Pandas Programs »