climate-commits mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From huiky...@apache.org
Subject [1/2] climate git commit: CLIMATE-737 - Debugging dataset_processor.temporal_rebin
Date Sun, 31 Jan 2016 01:57:05 GMT
Repository: climate
Updated Branches:
  refs/heads/master 44c189e85 -> adf9ccd35


CLIMATE-737 - Debugging dataset_processor.temporal_rebin

-temporal_rebin's keyword, time_unit, is replaced by temporal_resolution.


Project: http://git-wip-us.apache.org/repos/asf/climate/repo
Commit: http://git-wip-us.apache.org/repos/asf/climate/commit/4e44df9c
Tree: http://git-wip-us.apache.org/repos/asf/climate/tree/4e44df9c
Diff: http://git-wip-us.apache.org/repos/asf/climate/diff/4e44df9c

Branch: refs/heads/master
Commit: 4e44df9c706300b4c503f7647c7a74c522fc8c7d
Parents: 44c189e
Author: huikyole <huikyole@argo.jpl.nasa.gov>
Authored: Sat Jan 30 17:54:16 2016 -0800
Committer: huikyole <huikyole@argo.jpl.nasa.gov>
Committed: Sat Jan 30 17:54:16 2016 -0800

----------------------------------------------------------------------
 ocw/dataset_processor.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/climate/blob/4e44df9c/ocw/dataset_processor.py
----------------------------------------------------------------------
diff --git a/ocw/dataset_processor.py b/ocw/dataset_processor.py
index fee61bf..8ee5962 100755
--- a/ocw/dataset_processor.py
+++ b/ocw/dataset_processor.py
@@ -104,7 +104,7 @@ def temporal_subset(month_start, month_end, target_dataset, average_each_year=Fa
     
     return new_dataset
 
-def temporal_rebin(target_dataset, time_unit):     
+def temporal_rebin(target_dataset, temporal_resolution):     
     """ Rebin a Dataset to a new temporal resolution
     
     :param target_dataset: Dataset object that needs temporal rebinned
@@ -119,7 +119,7 @@ def temporal_rebin(target_dataset, time_unit):
     # Decode the temporal resolution into a string format that 
     # _rcmes_calc_average_on_new_time_unit_K() can understand
 
-    binned_values, binned_dates = _rcmes_calc_average_on_new_time_unit(target_dataset.values,
target_dataset.times, time_unit)
+    binned_values, binned_dates = _rcmes_calc_average_on_new_time_unit(target_dataset.values,
target_dataset.times, temporal_resolution)
     binned_dates = np.array(binned_dates)
     new_dataset = ds.Dataset(target_dataset.lats, 
                              target_dataset.lons, 


Mime
View raw message