MNT: Try to stick to passing filenames to other libraries

This clarifies ownership around who needs to close the file.

Author: dopplershift

examples/plots/Mesonet_Stationplot.py

@@ -31,7 +31,7 @@
 
 # Current observations can be downloaded here:
 # https://www.mesonet.org/index.php/weather/category/past_data_files
-data = pd.read_csv(get_test_data('mesonet_sample.txt'), na_values=' ')
+data = pd.read_csv(get_test_data('mesonet_sample.txt', as_file_obj=False), na_values=' ')
 
 # Drop stations with missing values of data we want
 data = data.dropna(how='any', subset=['PRES', 'TAIR', 'TDEW', 'WDIR', 'WSPD'])

examples/plots/nhc_wind_probabilities.py

@@ -22,7 +22,7 @@
 
 ###########################
 # Read in the shapefile file containing the wind probabilities.
-wind_data = geopandas.read_file(get_test_data('nhc_wind_prob_2021082012.zip'))
+wind_data = geopandas.read_file(get_test_data('nhc_wind_prob_2021082012.zip', False))
 
 ###########################
 # Add the color scheme to the GeoDataFrame. This is the same color scheme used by the National
@@ -33,7 +33,7 @@
 
 ###########################
 # Read in the shapefile file containing the cities.
-cities = geopandas.read_file(get_test_data('us_cities.zip'))
+cities = geopandas.read_file(get_test_data('us_cities.zip', as_file_obj=False))
 
 ###########################
 # There are thousands of cities in the United States. We choose a few cities here that we want

examples/plots/spc_convective_outlook.py

@@ -18,7 +18,8 @@
 
 ###########################
 # Read in the geoJSON file containing the convective outlook.
-day1_outlook = geopandas.read_file(get_test_data('spc_day1otlk_20210317_1200_lyr.geojson'))
+day1_outlook = geopandas.read_file(get_test_data('spc_day1otlk_20210317_1200_lyr.geojson',
+                                                 as_file_obj=False))
 
 ###########################
 # Preview the data.

tests/plots/test_util.py

@@ -54,8 +54,8 @@ def test_add_timestamp_xarray():
     """Test that add_timestamp can work with xarray datetime accessor."""
     with autoclose_figure() as fig:
         ax = fig.add_subplot(1, 1, 1)
-        ds = xr.open_dataset(get_test_data('AK-REGIONAL_8km_3.9_20160408_1445.gini'),
-                             engine='gini')
+        ds = xr.open_dataset(get_test_data('AK-REGIONAL_8km_3.9_20160408_1445.gini',
+                                           as_file_obj=False), engine='gini')
         txt = add_timestamp(ax, ds.time.dt, pretext='')
         assert txt.get_text() == '2016-04-08T14:45:20Z'