`wavy.insitu_readers`

The main task of this module is to read insitu obs for further use.

Module Contents

`get_d22_ts`(sdate, edate, basedate, nID, sensor, ...)
`get_d22_dict`(**kwargs)
`get_typeid`(→ str)
`make_frost_reference_time_period`(sdate, edate)
`call_frost_api`(→ requests.models.Response)	make frost api call
`call_frost_api_v1`(→ requests.models.Response)	frost call, retrieve data from frost v1
`find_preferred`(idx, sensors, refs, pref)
`get_frost_df_v1`(→ pandas.core.frame.DataFrame)	create pandas dataframe from frost call for v1
`get_frost_dict`(**kwargs)
`get_nc_dict`(**kwargs)
`parse_d22`(sdate, edate, pathlst, strsublst, dict_for_sub)	Read all lines in file and append to sl
`floater`(s)	Function that converts 's' to float32 or nan if floater throws exception
`find_category_for_variable`(varalias)
`get_revised_categories`(sl, category)	finds number of occurences of string (category) to determine
`find_category`(sl, category)
`check_sensor_availability`(idxlst, nID, sensor)
`extract_d22`(sl, varalias, nID, sensor)	Extracting data of choice - reading sl from parse_d22
`insitu_reader`(**kwargs)	wrapping function to read insitu files

wavy.insitu_readers.get_d22_ts(sdate, edate, basedate, nID, sensor, varalias, pathlst, strsublst, dict_for_sub)

wavy.insitu_readers.call_frost_api(sdate: datetime.datetime, edate: datetime.datetime, nID: str, varstr: str, sensor: str) → requests.models.Response: make frost api call

wavy.insitu_readers.call_frost_api_v1(nID: str, varstr: str, frost_reference_time: str, client_id: str, sensor: str) → requests.models.Response: frost call, retrieve data from frost v1

wavy.insitu_readers.get_frost_df_v1(r: requests.models.Response) → pandas.core.frame.DataFrame: create pandas dataframe from frost call for v1

wavy.insitu_readers.parse_d22(sdate, edate, pathlst, strsublst, dict_for_sub): Read all lines in file and append to sl

wavy.insitu_readers.floater(s): Function that converts ‘s’ to float32 or nan if floater throws exception

wavy.insitu_readers.get_revised_categories(sl, category): finds number of occurences of string (category) to determine revised_categories (type: list)

wavy.insitu_readers.extract_d22(sl, varalias, nID, sensor): Extracting data of choice - reading sl from parse_d22 CAUTION: 10min data is extracted for entire days only 00:00h - 23:50h Returns values of chosen variable (ts) and corresponding datetimes (dt) as type: np.array

wavy.insitu_readers.insitu_reader(**kwargs)

wrapping function to read insitu files