Rename Pandas DataFrame Index

Rename Pandas DataFrame Index

You can rename the index of a Pandas DataFrame using the rename_axis() method. Here's how to do it:

import pandas as pd # Create a sample DataFrame data = {'A': [1, 2, 3], 'B': [4, 5, 6]} df = pd.DataFrame(data) # Rename the index df = df.rename_axis('New_Index_Name') # Print the DataFrame with the renamed index print(df)

In this example, we first create a sample DataFrame df. Then, we use the rename_axis() method to rename the index to 'New_Index_Name'. The result will be a DataFrame with the new index name:

 A B New_Index_Name 0 1 4 1 2 5 2 3 6

You can replace 'New_Index_Name' with the desired name for your index. This method allows you to change the name of the index while preserving the integrity of the DataFrame's structure.

Examples

  1. How to rename the index in a Pandas DataFrame?

    • This query covers the basics of renaming the index in a Pandas DataFrame.
    import pandas as pd df = pd.DataFrame({ 'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 35] }) # Assign new index names df.index = ['A', 'B', 'C'] print(df) # Output: DataFrame with renamed index

  2. How to rename the index using a dictionary in Pandas?

    • This query discusses renaming the index based on a mapping dictionary.
    import pandas as pd df = pd.DataFrame({ 'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 35] }, index=['x1', 'x2', 'x3']) rename_dict = {'x1': 'one', 'x2': 'two', 'x3': 'three'} df.rename(index=rename_dict, inplace=True) print(df) # Output: DataFrame with renamed index based on a dictionary

  3. How to rename the index with a function in Pandas?

    • This query explores renaming the index using a transformation function.
    import pandas as pd df = pd.DataFrame({ 'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 35] }, index=[1, 2, 3]) # Apply a function to rename the index df.rename(index=lambda x: f"Index-{x}", inplace=True) print(df) # Output: DataFrame with transformed index names

  4. How to rename the index in Pandas DataFrame after a reset?

    • This query discusses renaming the index after resetting it.
    import pandas as pd df = pd.DataFrame({ 'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 35] }) # Reset the index to default integers df.reset_index(drop=True, inplace=True) # Rename the default index df.index.name = 'NewIndex' print(df) # Output: DataFrame with renamed index after reset

  5. How to rename the index and set the index name in Pandas?

    • This query explores renaming the index and setting an explicit index name.
    import pandas as pd df = pd.DataFrame({ 'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 35] }) # Rename the index and set an index name df.index = ['A', 'B', 'C'] df.index.name = 'IndexName' print(df) # Output: DataFrame with custom index names and an index name

  6. How to rename a multi-level index in Pandas?

    • This query discusses renaming multi-level indices in a Pandas DataFrame.
    import pandas as pd df = pd.DataFrame({ 'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 35] }, index=pd.MultiIndex.from_tuples([('Group1', 'A'), ('Group1', 'B'), ('Group2', 'C')])) rename_dict = {('Group1', 'A'): ('G1', 'X1'), ('Group1', 'B'): ('G1', 'X2')} df.rename(index=rename_dict, inplace=True) print(df) # Output: DataFrame with renamed multi-level index

  7. How to rename the index using a custom mapping in Pandas?

    • This query explores renaming the index based on a custom mapping that includes conditional logic.
    import pandas as pd df = pd.DataFrame({ 'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 35] }, index=[100, 101, 102]) # Custom mapping function for renaming def custom_rename(index): if index == 100: return 'First' elif index == 101: return 'Second' return 'Third' df.rename(index=custom_rename, inplace=True) print(df) # Output: DataFrame with custom index renaming based on conditional logic

  8. How to rename the index based on unique identifiers in Pandas?

    • This query discusses renaming the index based on unique identifiers like UUIDs.
    import pandas as pd import uuid df = pd.DataFrame({ 'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 35] }) # Assign unique identifiers as index df.index = [str(uuid.uuid4()) for _ in df.index] print(df) # Output: DataFrame with unique index names

  9. How to rename the index based on a specific naming pattern in Pandas?

    • This query explores renaming the index based on a specific pattern or naming convention.
    import pandas as pd df = pd.DataFrame({ 'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 35] }) # Rename the index with a specific pattern df.index = [f'Person-{i}' for i in range(len(df))] print(df) # Output: DataFrame with custom naming pattern for index

  10. How to rename the index in Pandas while preserving DataFrame integrity?

    • This query explores renaming the index while ensuring DataFrame integrity, such as maintaining proper ordering or data consistency.
    import pandas as pd df = pd.DataFrame({ 'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 35] }, index=[0, 1, 2]) # Rename the index with simple names df.index = ['Zero', 'One', 'Two'] # Ensure DataFrame integrity df.sort_index(inplace=True) # Sorting to maintain order print(df) # Output: DataFrame with renamed index and maintained order

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