Add Leading Zeros to Strings in Pandas Dataframe

Add Leading Zeros to Strings in Pandas Dataframe

You can add leading zeros to strings in a Pandas DataFrame using the str.zfill() method or the .apply() function. Here's how you can do it:

Suppose you have a DataFrame df with a column 'numbers' containing strings that you want to add leading zeros to:

import pandas as pd data = {'numbers': ['1', '23', '456', '7890']} df = pd.DataFrame(data) # Add leading zeros using str.zfill() df['numbers_with_zeros'] = df['numbers'].str.zfill(5) print(df)

Output:

 numbers numbers_with_zeros 0 1 00001 1 23 00023 2 456 00456 3 7890 07890

In this example, the str.zfill(5) method is used to add leading zeros to the 'numbers' column, padding each string with zeros to make them a total of 5 characters long.

You can adjust the number of zeros and the column names according to your requirements.

Examples

  1. "Pandas add leading zeros to column example"

    Description: This query seeks examples of adding leading zeros to a specific column in a Pandas DataFrame. Users often need to pad strings with leading zeros in DataFrame columns, especially when dealing with data such as IDs or codes.

    import pandas as pd # Create a sample DataFrame df = pd.DataFrame({'ID': ['123', '456', '789']}) # Add leading zeros to the 'ID' column df['ID'] = df['ID'].str.zfill(5)

  2. "Pandas DataFrame pad string with leading zeros"

    Description: Users want to know how to pad strings with leading zeros in a Pandas DataFrame. This query focuses on methods for padding string values in DataFrame columns with zeros to ensure consistent formatting.

    import pandas as pd # Create a sample DataFrame df = pd.DataFrame({'ID': ['001', '002', '003']}) # Pad strings in the 'ID' column with leading zeros df['ID'] = df['ID'].apply(lambda x: x.zfill(5))

  3. "Pandas DataFrame format string with leading zeros"

    Description: This query aims to format string values with leading zeros in a Pandas DataFrame. Users are interested in techniques for applying leading zeros to string data stored in DataFrame columns.

    import pandas as pd # Create a sample DataFrame df = pd.DataFrame({'ID': ['12', '34', '56']}) # Format strings in the 'ID' column with leading zeros df['ID'] = df['ID'].str.zfill(4)

  4. "Pandas add leading zeros to string column"

    Description: Users want to add leading zeros to string columns in a Pandas DataFrame. This query focuses on methods for modifying string data in DataFrame columns to include leading zeros as required.

    import pandas as pd # Create a sample DataFrame df = pd.DataFrame({'Code': ['A1', 'B2', 'C3']}) # Add leading zeros to strings in the 'Code' column df['Code'] = df['Code'].apply(lambda x: x.zfill(4))

  5. "Pandas DataFrame left pad string with zeros"

    Description: This query is about left-padding strings with zeros in a Pandas DataFrame. Users seek methods for adding leading zeros to string values stored in DataFrame columns to ensure consistent formatting.

    import pandas as pd # Create a sample DataFrame df = pd.DataFrame({'Code': ['X1', 'Y2', 'Z3']}) # Left pad strings in the 'Code' column with zeros df['Code'] = df['Code'].str.pad(width=4, side='left', fillchar='0')

  6. "Pandas DataFrame zero fill string column"

    Description: Users want to fill strings with leading zeros in a specific column of a Pandas DataFrame. This query focuses on techniques for padding string values with zeros in DataFrame columns.

    import pandas as pd # Create a sample DataFrame df = pd.DataFrame({'Number': ['11', '22', '33']}) # Zero fill strings in the 'Number' column df['Number'] = df['Number'].str.zfill(5)

  7. "Pandas DataFrame pad string with zeros"

    Description: This query aims to pad strings with zeros in a Pandas DataFrame. Users seek methods for adding leading zeros to string data stored in DataFrame columns to ensure consistent formatting.

    import pandas as pd # Create a sample DataFrame df = pd.DataFrame({'Value': ['9', '8', '7']}) # Pad strings in the 'Value' column with leading zeros df['Value'] = df['Value'].apply(lambda x: x.zfill(3))

  8. "Pandas DataFrame fill string with leading zeros"

    Description: Users want to fill string values with leading zeros in a Pandas DataFrame. This query focuses on techniques for modifying string data in DataFrame columns to include leading zeros as needed.

    import pandas as pd # Create a sample DataFrame df = pd.DataFrame({'Number': ['123', '456', '789']}) # Fill strings in the 'Number' column with leading zeros df['Number'] = df['Number'].apply(lambda x: x.zfill(6))

  9. "Pandas DataFrame add leading zeros to string column"

    Description: This query seeks methods for adding leading zeros to string columns in a Pandas DataFrame. Users are interested in techniques for modifying string data in DataFrame columns to ensure consistent formatting.

    import pandas as pd # Create a sample DataFrame df = pd.DataFrame({'Value': ['001', '002', '003']}) # Add leading zeros to strings in the 'Value' column df['Value'] = df['Value'].str.zfill(5)

  10. "Pandas DataFrame string padding with zeros"

    Description: Users want to pad strings with leading zeros in a Pandas DataFrame. This query focuses on methods for left-padding string values with zeros in DataFrame columns.

    import pandas as pd # Create a sample DataFrame df = pd.DataFrame({'Code': ['AB', 'CD', 'EF']}) # Pad strings in the 'Code' column with leading zeros df['Code'] = df['Code'].apply(lambda x: x.zfill(4))

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