Pandas - add value at specific iloc into new dataframe column

Pandas - add value at specific iloc into new dataframe column

To add a value at a specific location (iloc) into a new column of a DataFrame using Pandas, you can use the .assign() method along with the .iloc[] indexer. Here's how you can do it:

import pandas as pd # Sample DataFrame data = {'A': [1, 2, 3], 'B': [4, 5, 6]} df = pd.DataFrame(data) # Add a new column 'C' with a value at a specific iloc row_index = 1 # Index of the row where you want to add the value new_value = 10 # Value to be added new_df = df.assign(C=df.iloc[row_index]['B']) # Add value from row B to new column C new_df.at[row_index, 'C'] = new_value # Replace the added value with the desired new value print(new_df)

In this example, the .assign() method is used to create a new DataFrame (new_df) by adding a column 'C' with the value at the specified row_index from the original DataFrame's column 'B'. Then, the .at[] indexer is used to replace the added value with the new_value.

The output will be:

 A B C 0 1 4 NaN 1 2 5 10 2 3 6 NaN

Keep in mind that this approach creates a new DataFrame with the added column, rather than modifying the original DataFrame in place.

Examples

  1. "Pandas add value at specific iloc example" Description: Users seeking a basic demonstration of adding a value at a specific location using iloc in Pandas might use this query. Code:

    import pandas as pd # Sample DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) # Adding a value at a specific iloc into a new column df['C'] = 0 # Initialize new column df.iloc[1, df.columns.get_loc('C')] = 10 # Add value at specific iloc print(df)

  2. "Pandas insert value at specific iloc into new column" Description: Users looking for guidance on inserting a value at a specific location using iloc into a new column in Pandas may use this query. Code:

    import pandas as pd # Sample DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) # Inserting a value at a specific iloc into a new column df['C'] = 0 # Initialize new column df.loc[1, 'C'] = 10 # Insert value at specific iloc print(df)

  3. "Pandas add value at specific iloc to new column vectorized" Description: Users interested in a vectorized approach to adding a value at a specific iloc into a new column in Pandas might use this query. Code:

    import pandas as pd # Sample DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) # Adding a value at a specific iloc into a new column using vectorization df['C'] = 0 # Initialize new column df.at[1, 'C'] = 10 # Add value at specific iloc using at method print(df)

  4. "Pandas create new column with value at specific iloc" Description: Users looking to create a new column with a value at a specific iloc in Pandas may use this query. Code:

    import pandas as pd # Sample DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) # Creating a new column with a value at a specific iloc df['C'] = 0 # Initialize new column df.loc[1, 'C'] = 10 # Add value at specific iloc print(df)

  5. "Pandas add value at specific iloc into new dataframe column" Description: This query is a direct formulation of the task, users wanting to add a value at a specific iloc into a new column in a Pandas DataFrame. Code:

    import pandas as pd # Sample DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) # Adding a value at a specific iloc into a new column df['C'] = 0 # Initialize new column df.iat[1, df.columns.get_loc('C')] = 10 # Add value at specific iloc using iat method print(df)

  6. "Pandas insert value at specific iloc into new dataframe column" Description: Users looking to insert a value at a specific iloc into a new column in a Pandas DataFrame might use this query. Code:

    import pandas as pd # Sample DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) # Inserting a value at a specific iloc into a new column df['C'] = 0 # Initialize new column df.at[1, 'C'] = 10 # Insert value at specific iloc using at method print(df)

  7. "Pandas add value at specific iloc with new column creation" Description: This query indicates users want to simultaneously add a value at a specific iloc and create a new column in Pandas. Code:

    import pandas as pd # Sample DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) # Adding a value at a specific iloc with new column creation df.insert(2, 'C', 0) # Insert new column df.at[1, 'C'] = 10 # Add value at specific iloc print(df)

  8. "Pandas set value at specific iloc into new column" Description: Users seeking to set a value at a specific iloc into a new column in Pandas might use this query. Code:

    import pandas as pd # Sample DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) # Setting a value at a specific iloc into a new column df['C'] = 0 # Initialize new column df.iat[1, df.columns.get_loc('C')] = 10 # Set value at specific iloc using iat method print(df)

  9. "Pandas add value at specific iloc with new column" Description: This query suggests users are looking to add a value at a specific iloc while creating a new column in Pandas. Code:

    import pandas as pd # Sample DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) # Adding a value at a specific iloc with new column creation df['C'] = 0 # Initialize new column df.iat[1, df.columns.get_loc('C')] = 10 # Add value at specific iloc using iat method print(df)

  10. "Pandas set value at specific iloc into new dataframe column" Description: Users looking to set a value at a specific iloc into a new column in a Pandas DataFrame might use this query. Code:

    import pandas as pd # Sample DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) # Setting a value at a specific iloc into a new column df['C'] = 0 # Initialize new column df.iat[1, df.columns.get_loc('C')] = 10 # Set value at specific iloc using iat method print(df)

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