Build Dataset

flood_forecast.preprocessing.buil_dataset.build_weather_csv(json_full_path, asos_base_url, base_url_2, econet_data, visited_gages_path, start=0, end_index=100)

flood_forecast.preprocessing.buil_dataset.join_data(weather_csv, meta_json_file, flow_csv)

flood_forecast.preprocessing.buil_dataset.create_visited()

flood_forecast.preprocessing.buil_dataset.get_eco_netset(directory_path: str) → set

Econet data was supplied to us by the NC State climate office. They gave us a directory of CSV files in following format LastName_First_station_id_Hourly.txt This code simply constructs a set of stations based on what is in the folder.

flood_forecast.preprocessing.buil_dataset.combine_data(flow_df: pandas.core.frame.DataFrame, precip_df: pandas.core.frame.DataFrame)

flood_forecast.preprocessing.buil_dataset.create_usgs(meta_data_dir: str, precip_path: str, start: int, end: int)