How to copy a row from one pandas dataframe to another pandas dataframe?

How to copy a row from one pandas dataframe to another pandas dataframe?

You can copy a row from one pandas DataFrame to another by using the .loc[] indexer and providing the row index you want to copy. Here's how you can do it:

Let's assume you have two DataFrames, df_source and df_destination, and you want to copy a row from df_source to df_destination.

import pandas as pd # Create sample DataFrames data_source = {'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 28]} df_source = pd.DataFrame(data_source) data_destination = {'Name': ['David', 'Eva'], 'Age': [22, 26]} df_destination = pd.DataFrame(data_destination) # Assume you want to copy the row at index 1 from df_source to df_destination row_to_copy = df_source.loc[1] # Append the copied row to df_destination df_destination = df_destination.append(row_to_copy, ignore_index=True) print("Source DataFrame:") print(df_source) print("\nDestination DataFrame:") print(df_destination)

In this example, the row_to_copy variable holds the row at index 1 from df_source. Then, the .append() method is used to add this row to df_destination. The ignore_index=True parameter ensures that the index of the appended row is adjusted to fit the destination DataFrame.

Remember that appending rows to a DataFrame can be an expensive operation because it creates a new DataFrame each time. If you need to perform this operation frequently or for larger datasets, you might want to consider alternative methods, such as creating a new DataFrame from scratch and copying the rows you need, or using concatenation methods like pd.concat().

Examples

  1. How to copy a row from one pandas dataframe to another pandas dataframe using .loc?

    • Description: You can use the .loc accessor to select and copy a specific row from one dataframe to another.
    # Assuming df1 and df2 are your dataframes row_to_copy = df1.loc[row_index_to_copy] df2 = df2.append(row_to_copy, ignore_index=True)

  2. How to copy a row from one pandas dataframe to another pandas dataframe using .iloc?

    • Description: Similar to .loc, you can use .iloc to select rows by index position and copy them to another dataframe.
    # Assuming df1 and df2 are your dataframes row_to_copy = df1.iloc[row_index_to_copy] df2 = df2.append(row_to_copy, ignore_index=True)

  3. How to copy a row from one pandas dataframe to another pandas dataframe using pd.concat?

    • Description: pd.concat allows you to concatenate dataframes along rows. You can use it to copy a row from one dataframe to another.
    # Assuming df1 and df2 are your dataframes row_to_copy = df1.iloc[row_index_to_copy] df2 = pd.concat([df2, row_to_copy.to_frame().T], ignore_index=True)

  4. How to copy a row from one pandas dataframe to another pandas dataframe using .append?

    • Description: The .append method can be used to add a row from one dataframe to another.
    # Assuming df1 and df2 are your dataframes row_to_copy = df1.iloc[row_index_to_copy] df2 = df2.append(row_to_copy, ignore_index=True)

  5. How to copy a row from one pandas dataframe to another pandas dataframe using .copy?

    • Description: You can use the .copy method to explicitly create a copy of the row before appending it to the second dataframe.
    # Assuming df1 and df2 are your dataframes row_to_copy = df1.iloc[row_index_to_copy].copy() df2 = df2.append(row_to_copy, ignore_index=True)

  6. How to copy a row from one pandas dataframe to another pandas dataframe using dictionary assignment?

    • Description: Convert the row to a dictionary and then append it to the second dataframe.
    # Assuming df1 and df2 are your dataframes row_to_copy = df1.iloc[row_index_to_copy].to_dict() df2 = df2.append(row_to_copy, ignore_index=True)

  7. How to copy a row from one pandas dataframe to another pandas dataframe using .loc and assignment?

    • Description: Select the row using .loc and assign it directly to the second dataframe.
    # Assuming df1 and df2 are your dataframes df2.loc[df2.index.max() + 1] = df1.loc[row_index_to_copy]

  8. How to copy a row from one pandas dataframe to another pandas dataframe using .copy(deep=True)?

    • Description: Use the .copy(deep=True) method to ensure a deep copy of the row.
    # Assuming df1 and df2 are your dataframes row_to_copy = df1.iloc[row_index_to_copy].copy(deep=True) df2 = df2.append(row_to_copy, ignore_index=True)

  9. How to copy a row from one pandas dataframe to another pandas dataframe using .take?

    • Description: Use .take to select rows by index and copy them to another dataframe.
    # Assuming df1 and df2 are your dataframes row_to_copy = df1.take([row_index_to_copy]) df2 = df2.append(row_to_copy, ignore_index=True)

  10. How to copy a row from one pandas dataframe to another pandas dataframe using numpy array conversion?

    • Description: Convert the row to a numpy array and then append it to the second dataframe.
    # Assuming df1 and df2 are your dataframes row_to_copy = df1.iloc[row_index_to_copy].to_numpy() df2 = df2.append(pd.Series(row_to_copy, index=df2.columns), ignore_index=True)

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