I have 2 dataframes. One is small with lesser columns of the other one. I want to update df1 with values from the available columns in df2. How do I do it? Eg: df1: Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1 8 20 34 123 623 55 46 2 1 22 44 623 8 76 34 322 0 4 0 7 9 77 23 1 8 11 34 123 2 3 46 2 1 22 44 df2: Jan Jul Mar Oct May Dec 1 55 20 34 123 623 abc d e Mon Tue Wed 1 3 11 34 123 2 Expected Output: Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1 8 20 34 123 623 55 46 2 1 22 44 623 8 76 34 322 0 4 0 7 9 77 23 1 8 11 34 123 2 3 46 2 1 22 44 1 20 123 55 34 623 abc e Tue d Mon Wed 1 11 123 3 34 2 Tried the below code, but it didnt work for my need: def update_dataframe(df1, df2, key_column): """ Updates df1 with values from df2 based on a common key column. Only columns present in df2 will be updated in df1. Parameters: - df1 (pd.DataFrame): The larger DataFrame. - df2 (pd.DataFrame): The smaller DataFrame with updated values. - key_column (str): The column name used as the key for matching rows. Returns: - pd.DataFrame: Updated df1. """ df2_clean = df2.drop_duplicates(subset=key_column) # Set the key column as index for both DataFrames df1.set_index(key_column, inplace=True) df2_clean.set_index(key_column, inplace=True) # Update df1 with values from df2 df1.update(df2_clean) # Reset index to return to original structure df1.reset_index(inplace=True) return df1 # Example usage: # updated_df = update_dataframe(df1, df2, "ID") Continue reading...
