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Updated parallelization approach now working for SPI and PET #212

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Nov 16, 2018
Merged

Updated parallelization approach now working for SPI and PET #212

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8f87900
new code to generalize flow for all index types in order to eliminate…
monocongo Nov 16, 2018
517110f
updated to handle PET processing, script appears to work for SPI and …
monocongo Nov 16, 2018
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8 changes: 5 additions & 3 deletions climate_indices/indices.py
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Original file line number Diff line number Diff line change
Expand Up @@ -431,10 +431,12 @@ def pet(temperature_celsius, latitude_degrees, data_start_year):
# we started with all NaNs for the temperature, so just return the same
return temperature_celsius

# if we've been passed an array of latitude values then just use
# the first one (useful when applying this function with xarray.GroupBy)
# If we've been passed an array of latitude values then just use
# the first one -- useful when applying this function with xarray.GroupBy
# or numpy.apply_along_axis() where we've had to duplicate values in a 3-D
# array of latitudes in order to correspond with a 3-D array of temperatures.
if isinstance(latitude_degrees, np.ndarray) and (latitude_degrees.size > 1):
latitude_degrees = latitude_degrees[0]
latitude_degrees = latitude_degrees.flat[0]

# make sure we're not dealing with a NaN or out-of-range latitude value
if (
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