Github user lewismc commented on a diff in the pull request:
https://github.com/apache/climate/pull/383#discussion_r75452491
--- Diff: examples/podaac_integration_example.py ---
@@ -0,0 +1,75 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements. See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership. The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied. See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+import ocw.data_source.podaac as podaac
+import ocw.evaluation as evaluation
+import ocw.metrics as metrics
+import ocw.plotter as plotter
+
+datasetId = 'PODAAC-CCF30-01XXX'
+datasetShortName = 'CCMP_MEASURES_ATLAS_L4_OW_L3_0_WIND_VECTORS_FLK'
+variable = 'uwnd'
+name = 'PO.DAAC_test_dataset'
+OUTPUT_PLOT = "cmc_temporal_std"
+""" Step 1: Load Local NetCDF Files into OCW Dataset Objects """
+print("Loading %s dataset into an OCW dataset objects" % datasetShortName)
+cmc_dataset = podaac.load_dataset(
+ variable=variable, datasetId=datasetId,
datasetShortName=datasetShortName, name=name)
+print "CMC_Dataset.values shape: (times, lats, lons) - %s \n" %
(cmc_dataset.values.shape,)
+
+# Acessing latittudes and longitudes of netCDF file
+lats = cmc_dataset.lats
+lons = cmc_dataset.lons
+
+""" Step 2: Build a Metric to use for Evaluation - Temporal STD for this
example """
+# You can build your own metrics, but OCW also ships with some common
metrics
+print "Setting up a Temporal STD metric to use for evaluation"
+std = metrics.TemporalStdDev()
+
+""" Step 3: Create an Evaluation Object using Datasets and our Metric """
+# The Evaluation Class Signature is:
+# Evaluation(reference, targets, metrics, subregions=None)
+# Evaluation can take in multiple targets and metrics, so we need to
convert
+# our examples into Python lists. Evaluation will iterate over the lists
+print "Making the Evaluation definition"
--- End diff --
Please make all function calls Python3 compatible. The call to print.... is
not.
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