WxData

Observed Atmospheric Soundings

def get_observed_sounding_data(station_id, 
                               current=True, 
                               custom_time=None, 
                               comparison_24=False, 
                               proxies=None,
                               clear_recycle_bin=False,
                               loop_over_missing_data=False):

This function scrapes the University of Wyoming Sounding Database and returns the data in a Pandas DataFrame

Required Arguments:

1) station_id (String or Integer) - User inputs the station_id as a string or an integer. Some stations only have the ID by integer. Please see https://weather.uwyo.edu/upperair/sounding.shtml for more info.

Optional Arguments:

1) current (Boolean) - Default = True. When set to True, the latest available data will be returned. If set to False, the user can download the data for a custom date/time of their choice.

2) custom_time (String) - If a user wants to download the data for a custom date/time, they must do the following:

1. set current=False
2. set custom_time='YYYY-mm-dd:HH'

3) comparison_24 (Boolean) - Default = False. When set to True, the function will return the current dataset and dataset from 24-hours prior to the current dataset (i.e. 00z this evening vs. 00z yesterday evening). When set to False, only the current dataset is returned.

4) proxies (String) - Default = None. If the user is requesting the data on a machine using a proxy server, the user must set proxy=’proxy_url’. The default setting assumes the user is not using a proxy server conenction.

  proxies=None ---> proxies={
                             'http':'http://your-proxy-address:port',
                             'https':'http://your-proxy-address:port'
                             }

5) clear_recycle_bin (Boolean) - (Default=False in WxData >= 1.2.5) (Default=True in WxData < 1.2.5). 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.

6) loop_over_missing_data (Boolean) - Default=False. When set to True, the program does not close if the data is missing. Setting loop_over_missing_data=True is useful for those downloading multiple observations over a period of time.

Returns

if comparison_24 == False: 
    A Pandas DataFrame of the University of Wyoming Sounding Data
if comparison_24 == True:
    A Pandas DataFrame of the latest University of Wyoming Sounding Data
                                AND
    A Pandas DataFrame of the University of Wyoming Sounding Data from 24-hours prior to the current DataFrame. 

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