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What is the procedure for using Pandas fillna() method with the column's mode?

asked 2022-06-16 11:00:00 +0000

lakamha gravatar image

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answered 2022-07-04 04:00:00 +0000

lalupa gravatar image

To fill null or missing values in a Pandas DataFrame column with the mode of that column, follow these steps:

  1. Import the Pandas library:

    import pandas as pd
  2. Create a DataFrame object or read a CSV file into a DataFrame:

    df = pd.read_csv('data.csv')
  3. Use the fillna() method of the DataFrame object to fill null or missing values with the mode of the column:

    df['column_name'].fillna(df['column_name'].mode()[0], inplace=True)

    Here, column_name is the name of the column we want to fill null or missing values, mode()[0] returns the mode value of the column, and inplace=True ensures that the changes are made to the original DataFrame.

  4. Finally, we can check the DataFrame for any missing values using the isnull() method:


    This will return the number of missing values in each column of the DataFrame, which should be 0 for the column we just filled with the mode.

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Asked: 2022-06-16 11:00:00 +0000

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Last updated: Jul 04 '22