I have a function that returns a data frame and a date string. pattern 2025-05-07 a 104 b 87 c 34 I am applying the function on multiple dates to generate similar data frames as above. The resulting dataframes are concatenated to generate a final dataframe as below. pattern 2025-05-07 2025-05-08 a 104.0 7.0 b 87.0 0.0 c 34.0 2.0 I am trying to generate a filter condition using the date strings received as a output of the functions. Since, I do not have any control on the input dates, I am trying to generate a filter condition dynamically as below - for index, date_str in enumerate(date_str_list): if index == 0: filter_condition = final_df[date_str] > 1 else: filter_condition = filter_condition & final_df[date_str] > 1 print('filter_condition',filter_condition) final_filtered_df = final_df[filter_condition] print('final_filtered_df\n',final_filtered_df) When I apply the above filter I get an empty dataframe. But when I run the hardcoded filter I get proper data. final_filtered_df = final_df[(final_df['2025-05-07'] > 1) & (final_df['2025-05-08'] > 1)] Can anyone let me know where I am going wrong. Would appreciate help on this. Continue reading...
