etdtransform

• etdtransform package
  • Submodules
  • etdtransform.aggregate module
    • read_hh_data()
    • add_index_columns()
    • aggregate_hh_data_5min()
    • impute_hh_data_5min()
    • add_calculated_columns_to_hh_data()
    • read_aggregate()
    • get_aggregate_table()
    • resample_hh_data()
    • aggregate_project_data()
    • aggregate_and_save()
    • aggregate_by_columns()
    • aggregate_variable()
    • aggregate_diff_cumsum()
    • aggregate_sum()
    • aggregate_max()
    • aggregate_avg()
    • resample_and_save()
    • resample_by_columns()
    • resample_variable()
    • resample_max()
    • resample_sum()
    • resample_avg()
  • etdtransform.calculated_columns module
    • add_calculated_columns_imputed_data()
    • add_rolling_avg()
    • get_highest_avg_period()
    • gelijktijdigheid()
    • get_lowest_avg_period()
    • mark_coldest_two_weeks()
    • mark_highest_peak()
    • switch_multiplier()
    • add_normalized_datetime()
  • etdtransform.impute module
    • calculate_average_diff()
    • concatenate_household_max_with_bounds()
    • concatenate_avg_diff_columns()
    • equal_sig_fig()
    • validate_household_column()
    • get_reading_date_imputation_stats()
    • sort_for_impute()
    • get_diff_columns()
    • prepare_diffs_for_impute()
    • read_diffs()
    • process_and_impute()
  • etdtransform.knmi module
    • get_project_weather_station_data()
    • get_weather_data()
    • load_knmi_weather_data()
  • etdtransform.load_data module
    • get_household_tables()
    • join_index_table()
    • get_weather_data_table()
    • get_weather_station_table()
    • join_weather_data()
    • get_project_tables()
    • get_dfs()
  • etdtransform.vectorized_impute module
    • ImputeType
      • ImputeType.NONE
      • ImputeType.NEGATIVE_GAP_JUMP
      • ImputeType.NEAR_ZERO_GAP_JUMP
      • ImputeType.LINEAR_FILL
      • ImputeType.SCALED_FILL
      • ImputeType.ZERO_END_VALUE
      • ImputeType.POSITIVE_END_VALUE
      • ImputeType.NO_END_VALUE
      • ImputeType.THRESHOLD_ADJUSTED
    • apply_thresholds()
    • drop_temp_cols()
    • impute_and_normalize()
    • methods_to_bitwise()
    • process_gap_and_cumulative_groups()
    • process_imputation_vectorized()
  • Module contents