def get_current_multi_raws_station_fuels_observations(station_ids,
fuel_model='Y',
clear_recycle_bin=False,
path=f'{folder_modified}/FEMS Data/Current Multi Station/Observations/Fuels',
proxies=None,
clear_data=True,
meta_path=f'{folder_modified}/FEMS Data/Station Meta Data',
sheet_name='Sheet1'):
This function retrieves the current fuels observations for a user-specified list of RAWS Stations.
Required Arguments:
1) station_ids (Integer List) - An integer list of all the RAWS IDs for each RAWS station the user wants in the dataset.
Optional Arguments:
1) fuel_model (String) - Default = ‘Y’. The fuel model being used.
Fuel Models List:
Y - Timber
X - Brush
W - Grass/Shrub
V - Grass
Z - Slash
3) clear_recycle_bin (Boolean) - Default=False. When set to True, the contents in your recycle/trash bin will be deleted with each run of the program you are calling WxData. This setting is to help preserve memory on the machine.
4) path (String) - Default=f’{folder_modified}/FEMS Data/Current Multi Station/Observations/Fuels’. The directory the data will be saved to.
5) proxies (dict or None) - Default=None. If the user is using proxy server(s), the user must change the following:
proxies=None ---> proxies={
'http':'http://your-proxy-address:port',
'https':'http://your-proxy-address:port'
}
5) clear_data (Boolean) - Default=True. When set to True, the data directory clears out and new data is downloaded.
6) meta_path (String) - Default=f’{folder_modified}/FEMS Data/Station Meta Data’. The path to where the RAWS station meta data excel file will be saved to.
7) sheet_name (String) - The name of the sheet in the excel file to be converted into a pandas.DataFrame.
Returns
A Pandas DataFrame of current observed fuels data with lat/lon coordinates for each station merged from the meta-data file.