only copy if there are really in-place changes to be done
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@ -2,8 +2,6 @@ import numpy as np
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def calc_radial_integration(results, data, keep_pixels, pixel_mask_pf, center_radial_integration, r_radial_integration):
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data = np.copy(data)
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if keep_pixels is None and pixel_mask_pf is not None:
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keep_pixels = (pixel_mask_pf != 0)
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@ -25,6 +23,7 @@ def calc_radial_integration(results, data, keep_pixels, pixel_mask_pf, center_ra
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if apply_threshold and all(k in results for k in ("threshold_min", "threshold_max")):
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threshold_min = float(results["threshold_min"])
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threshold_max = float(results["threshold_max"])
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data = np.copy(data) # do the following in-place changes on a copy
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data[data < threshold_min] = np.nan
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#TODO: skipping max is a guess, but not obvious/symmetric -- better to ensure the order min < max by switching them if needed
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if threshold_max > threshold_min:
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