update samples from Release-129 as a part of SDK release

how-to-use-azureml/work-with-data/datadrift-tutorial/get_data.py

@@ -1,30 +0,0 @@
-# import packages
-import os
-import pandas as pd
-from calendar import monthrange
-from datetime import datetime, timedelta
-from azureml.core import Dataset, Datastore, Workspace
-from azureml.opendatasets import NoaaIsdWeather
-
-# get workspace and datastore
-ws = Workspace.from_config()
-dstore = ws.get_default_datastore()
-
-# adjust parameters as needed
-target_years = list(range(2010, 2020))
-start_month = 1
-
-# get data
-for year in target_years:
-    for month in range(start_month, 12 + 1):
-        path = 'weather-data/{}/{:02d}/'.format(year, month)
-        try:
-            start = datetime(year, month, 1)
-            end = datetime(year, month, monthrange(year, month)[1]) + timedelta(days=1)
-            isd = NoaaIsdWeather(start, end).to_pandas_dataframe()
-            isd = isd[isd['stationName'].str.contains('FLORIDA', regex=True, na=False)]
-            os.makedirs(path, exist_ok=True)
-            isd.to_parquet(path + 'data.parquet')
-        except Exception as e:
-            print('Month {} in year {} likely has no data.\n'.format(month, year))
-            print('Exception: {}'.format(e))