If all data pixel are on NaN, then assign a value of 0.0 for each pixel.
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@@ -198,6 +198,11 @@ def check_image_properties(data, data_file):
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list_nans = np.where(np.isnan(data))[0]
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list_nans = np.where(np.isnan(data))[0]
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data_clean = np.delete(data, list_nans)
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data_clean = np.delete(data, list_nans)
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# If all pixels are on NaN, then put the mean value onto 0.0.
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if len(list_nans) == len(data):
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data_mean = 0.0
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else:
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data_mean = np.mean(data_clean)
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data_mean = np.mean(data_clean)
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for nan in list_nans:
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for nan in list_nans:
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