'_t': 'creation_date', '_w': 'pomodoro_duration' } df = df_original.copy() #df['_d'] = df['_d'].apply(lambda x: total_time(x)) df['_l'] = df['_l'].apply(lambda x: datetime.datetime.fromtimestamp(x)) df['_t'] = df['_t'].apply(lambda x: datetime.datetime.fromtimestamp(x)) df.rename(columns=new_column_names, inplace=True) return df # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~|Projects|~~~~~~~~~~~~~~~~~~~~~~``````` projects = {} for index, project_sample in format_projects(df_projects).iterrows(): project = Project.objects.create( creation_date=project_sample.creation_date, name=project_sample.project_name, user_id=2, pomodoro_duration=project_sample.pomodoro_duration) projects[project_sample.id] = project for index, sample1 in format_work_units(df_work_units).iterrows(): date = time_date_to_datetime(sample1.time, sample1.date) pomodoro = Pomodoro() pomodoro.project = projects[sample1.project_id] pomodoro.user_id = 2 pomodoro.date = date pomodoro.duration = sample1.duration pomodoro.save()