CLIMATE-484 - Remove rebinning metrics from examples.
Project: http://git-wip-us.apache.org/repos/asf/climate/repo Commit: http://git-wip-us.apache.org/repos/asf/climate/commit/26eb92fc Tree: http://git-wip-us.apache.org/repos/asf/climate/tree/26eb92fc Diff: http://git-wip-us.apache.org/repos/asf/climate/diff/26eb92fc Branch: refs/heads/master Commit: 26eb92fc9737a432e1ee5758d48ab2d32e52c3c4 Parents: 71706a9 Author: Michael Joyce <[email protected]> Authored: Wed Jul 2 10:01:22 2014 -0700 Committer: Michael Joyce <[email protected]> Committed: Wed Jul 2 10:01:22 2014 -0700 ---------------------------------------------------------------------- examples/taylor_diagram_example.py | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/climate/blob/26eb92fc/examples/taylor_diagram_example.py ---------------------------------------------------------------------- diff --git a/examples/taylor_diagram_example.py b/examples/taylor_diagram_example.py index f60bfe6..b08502e 100644 --- a/examples/taylor_diagram_example.py +++ b/examples/taylor_diagram_example.py @@ -85,7 +85,7 @@ wrf_dataset = dsp.spatial_regrid(wrf_dataset, new_lats, new_lons) # Load the metrics that we want to use for the evaluation. ################################################################################ -sstdr = metrics.SpatialStdDevRatio() +sstdr = metrics.StdDevRatio() pc = metrics.PatternCorrelation() # Create our new evaluation object. The knmi dataset is the evaluations @@ -99,9 +99,7 @@ test_evaluation.run() # Pull our the evaluation results and prepare them for drawing a Taylor diagram. ################################################################################ spatial_stddev_ratio = test_evaluation.results[0][0] -# Pattern correlation results are a tuple, so we need to index and grab -# the component we care about. -spatial_correlation = test_evaluation.results[0][1][0] +spatial_correlation = test_evaluation.results[0][1] taylor_data = numpy.array([[spatial_stddev_ratio], [spatial_correlation]]).transpose()
