How to apply a function on every row on a dataframe in python?

How to apply a function on every row on a dataframe in python?

To apply a function to every row in a Pandas DataFrame in Python, you can use the apply() function along with the axis parameter set to 1. This allows you to apply a custom function to each row of the DataFrame. Here's how you can do it:

Suppose you have a DataFrame named df, and you want to apply a function my_function() to each row:

import pandas as pd # Sample DataFrame data = {'Column1': [1, 2, 3], 'Column2': [4, 5, 6]} df = pd.DataFrame(data) # Define the function to apply to each row def my_function(row): # Example: Sum the values in each row return row['Column1'] + row['Column2'] # Apply the function to each row df['Result'] = df.apply(my_function, axis=1) print(df)

Output:

 Column1 Column2 Result 0 1 4 5 1 2 5 7 2 3 6 9

In this example, the my_function() is applied to each row of the DataFrame using the apply() function with axis=1. The Result column is created to store the result of the function applied to each row.

You can replace my_function() with your custom function and modify the logic based on your requirements.

Examples

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    • Description: This query likely seeks a method to apply a custom function to each row of a DataFrame in Python using Pandas.
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