CLIMATE-920 Make examples Python 3 compatible

examples/esgf_integration_example.py

@@ -18,14 +18,19 @@
 import ocw.data_source.esgf as esgf
 from getpass import getpass
 import ssl
+import sys
 
 if hasattr(ssl, '_create_unverified_context'):
     ssl._create_default_https_context = ssl._create_unverified_context
 
-dataset_id = 'obs4MIPs.CNES.AVISO.zos.mon.v20110829|esgf-data.jpl.nasa.gov'
+dataset_id = 'obs4mips.CNES.AVISO.zos.mon.v20110829|esgf-data.jpl.nasa.gov'
 variable = 'zosStderr'
 
-username = raw_input('Enter your ESGF OpenID:\n')
+if sys.version_info[0] >= 3:
+    username = input('Enter your ESGF OpenID:\n')
+else:
+    username = raw_input('Enter your ESGF OpenID:\n')
+
 password = getpass(prompt='Enter your ESGF Password:\n')
 
 # Multiple datasets are returned in a list if the ESGF dataset is
@@ -39,7 +44,7 @@
 # we only need to look at the 0-th value in the returned list.
 ds = datasets[0]
 
-print '\n--------\n'
-print 'Variable: ', ds.variable
-print 'Shape: ', ds.values.shape
-print 'A Value: ', ds.values[100][100][100]
+print('\n--------\n')
+print('Variable: ', ds.variable)
+print('Shape: ', ds.values.shape)
+print('A Value: ', ds.values[100][100][100])

examples/podaac_integration_example.py

@@ -24,8 +24,9 @@
 variable = 'uwnd'
 name = 'PO.DAAC_test_dataset'
 OUTPUT_PLOT = "ccmp_temporal_std"
-""" Step 1: Load Local NetCDF Files into OCW Dataset Objects """
-print("Extracting Level4 granule %s and converting it into a OCW dataset object." % datasetId)
+""" Step 1: Download remote PO.DAAC Dataset and read it into an OCW Dataset Object"""
+print("Available Level4 PO.DAAC Granules: %s" % podaac.list_available_extract_granule_dataset_ids())
+print("Extracting variable '%s' from  Level4 granule '%s' and converting it into a OCW dataset object." % (variable, datasetId))
 ccmp_dataset = podaac.extract_l4_granule(
     variable=variable, dataset_id=datasetId, name=name)
 print("CCMP_Dataset.values shape: (times, lats, lons) - %s \n" %
@@ -67,7 +68,7 @@
 
 fname = OUTPUT_PLOT
 gridshape = (4, 5)  # 20 Years worth of plots. 20 rows in 1 column
-plot_title = "CCMP Temporal Standard Deviation"
+plot_title = "Cross-Calibrated Multi-Platform Temporal Standard Deviation"
 sub_titles = range(2002, 2010, 1)
 
 plotter.draw_contour_map(results, lats, lons, fname,

examples/simple_model_to_model_bias.py

@@ -17,7 +17,15 @@
 
 import datetime
 from os import path
-import urllib
+import sys
+
+if sys.version_info[0] >= 3:
+    from urllib.request import urlretrieve
+else:
+    # Not Python 3 - today, it is most likely to be Python 2
+    # But note that this might need an update when Python 4
+    # might be around one day
+    from urllib import urlretrieve
 
 import numpy as np
 
@@ -39,9 +47,9 @@
 FILE_2_PATH = path.join('/tmp', FILE_2)
 
 if not path.exists(FILE_1_PATH):
-    urllib.urlretrieve(FILE_LEADER + FILE_1, FILE_1_PATH)
+    urlretrieve(FILE_LEADER + FILE_1, FILE_1_PATH)
 if not path.exists(FILE_2_PATH):
-    urllib.urlretrieve(FILE_LEADER + FILE_2, FILE_2_PATH)
+    urlretrieve(FILE_LEADER + FILE_2, FILE_2_PATH)
 
 """ Step 1: Load Local NetCDF Files into OCW Dataset Objects """
 print("Loading %s into an OCW Dataset Object" % (FILE_1_PATH,))

examples/taylor_diagram_example.py

@@ -18,7 +18,14 @@
 import datetime
 import sys
 from os import path
-import urllib
+
+if sys.version_info[0] >= 3:
+    from urllib.request import urlretrieve
+else:
+    # Not Python 3 - today, it is most likely to be Python 2
+    # But note that this might need an update when Python 4
+    # might be around one day
+    from urllib import urlretrieve
 
 import numpy
 
@@ -36,10 +43,10 @@
 # Download some example NetCDF files for the evaluation
 ##########################################################################
 if not path.exists(FILE_1):
-    urllib.urlretrieve(FILE_LEADER + FILE_1, FILE_1)
+    urlretrieve(FILE_LEADER + FILE_1, FILE_1)
 
 if not path.exists(FILE_2):
-    urllib.urlretrieve(FILE_LEADER + FILE_2, FILE_2)
+    urlretrieve(FILE_LEADER + FILE_2, FILE_2)
 
 # Load the example datasets into OCW Dataset objects. We want to load
 # the 'tasmax' variable values. We'll also name the datasets for use

examples/time_series_with_regions.py

@@ -12,7 +12,15 @@
 import numpy as np
 import numpy.ma as ma
 from os import path
-import urllib
+import sys
+
+if sys.version_info[0] >= 3:
+    from urllib.request import urlretrieve
+else:
+    # Not Python 3 - today, it is most likely to be Python 2
+    # But note that this might need an update when Python 4
+    # might be around one day
+    from urllib import urlretrieve
 import ssl
 if hasattr(ssl, '_create_unverified_context'):
     ssl._create_default_https_context = ssl._create_unverified_context
@@ -29,7 +37,7 @@
 LAT_MAX = 42.24
 LON_MIN = -24.0
 LON_MAX = 60.0
-START = datetime.datetime(2000, 01, 1)
+START = datetime.datetime(2000, 1, 1)
 END = datetime.datetime(2007, 12, 31)
 
 EVAL_BOUNDS = Bounds(lat_min=LAT_MIN, lat_max=LAT_MAX,
@@ -48,13 +56,16 @@
 
 # Download necessary NetCDF file if not present
 if not path.exists(FILE_1):
-    urllib.urlretrieve(FILE_LEADER + FILE_1, FILE_1)
+    print("Downloading %s" % (FILE_LEADER + FILE_1))
+    urlretrieve(FILE_LEADER + FILE_1, FILE_1)
 
 if not path.exists(FILE_2):
-    urllib.urlretrieve(FILE_LEADER + FILE_2, FILE_2)
+    print("Downloading %s" % (FILE_LEADER + FILE_2))
+    urlretrieve(FILE_LEADER + FILE_2, FILE_2)
 
 if not path.exists(FILE_3):
-    urllib.urlretrieve(FILE_LEADER + FILE_3, FILE_3)
+    print("Downloading %s" % (FILE_LEADER + FILE_3))
+    urlretrieve(FILE_LEADER + FILE_3, FILE_3)
 
 """ Step 1: Load Local NetCDF File into OCW Dataset Objects and store in list"""
 target_datasets.append(local.load_file(FILE_1, varName, name="KNMI"))