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OptimalExtract: handle variance input with nans #132

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OptimalExtract: handle variance input with nans #132

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4 changes: 4 additions & 0 deletions specreduce/extract.py
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Original file line number Diff line number Diff line change
Expand Up @@ -353,6 +353,10 @@ def __call__(self, image=None, trace_object=None,
if np.any(variance < 0):
raise ValueError("variance must be fully positive")

if np.any(np.isnan(variance)):
# exclude these elements by editing the input mask
img.mask[np.isnan(variance)] = True

if np.any(variance == 0):
# exclude these elements by editing the input mask
img.mask[variance == 0] = True
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