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1 parent 81d493d commit b414dc8Copy full SHA for b414dc8
lib/matplotlib/axes/_axes.py
@@ -3505,7 +3505,7 @@ def apply_mask(arrays, mask): return [array[mask] for array in arrays]
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f"'{dep_axis}err' (shape: {np.shape(err)}) must be a "
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f"scalar or a 1D or (2, n) array-like whose shape matches "
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f"'{dep_axis}' (shape: {np.shape(dep)})") from None
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- res = np.zeros_like(err, dtype=bool) # Default in case of nan
+ res = np.zeros(err.shape, dtype=bool) # Default in case of nan
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if np.any(np.less(err, -err, out=res, where=(err == err))):
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# like err<0, but also works for timedelta and nan.
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raise ValueError(
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