update samples from Release-130 as a part of SDK release

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

@@ -0,0 +1,30 @@
+# 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))