Check if pandas DataFrame is Empty in Python (2 Examples)

 

In this Python tutorial you’ll learn how to test whether a pandas DataFrame is empty.

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Let’s dive into it!

 

Example 1: Test whether pandas DataFrame is Empty (Non-Empty Data)

The Python programming syntax below shows how to how to evaluate whether a pandas DataFrame contains any values.

First, we need to load the pandas library:

import pandas as pd                             # Load pandas library

Next, we have to create a pandas DataFrame in Python:

data1 = pd.DataFrame({'x1':[6, 7, 3, 7, 9],    # Create example DataFrame
                     'x2':[3, 6, 4, 1, 3],
                     'x3':range(6, 1, - 1)})
print(data1)                                   # Print example DataFrame

 

table 1 DataFrame check if pandas dataframe is empty python

 

The output of the previous syntax is shown in Table 1 – We have created a pandas DataFrame containing three columns and five non-empty rows.

We can now use the empty attribute of our pandas DataFrame to return a logical indicator that shows whether our data is empty:

print(data1.empty)                             # Test if DataFrame is empty
# False

The previous Python code has returned the logical indicator False, i.e. our data set is not empty.

 

Example 2: Test whether pandas DataFrame is Empty (Empty Data)

In Example 1 we have used a non-empty data matrix as basement. For comparison, let’s create an empty DataFrame in Python:

data2 = pd.DataFrame()                         # Create empty DataFrame
print(data2)                                   # Print empty DataFrame
# Empty DataFrame
# Columns: []
# Index: []

Now, we can use the empty attribute once again:

print(data2.empty)                             # Test if DataFrame is empty
# True

This time the logical indicator True is returned, i.e. our data set is empty.

 

Video & Further Resources

If you need more explanations on pandas DataFrames, I can recommend watching the following video on the YouTube channel of Corey Schafer. He shows different tips and tricks on how to handle pandas DataFrames in the video.

 

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Furthermore, you might want to have a look at the related Python programming articles on this homepage. Please find a selection of tutorials below.

 

On this page you have learned how to check whether a pandas DataFrame is empty in the Python programming language. Let me know in the comments section, in case you have further questions.

 

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