From 196d633cb19274ddffb4ba42928126fd15e3282d Mon Sep 17 00:00:00 2001 From: Raghav Khanna <37894186+raghavkhanna18@users.noreply.github.com> Date: Mon, 24 Aug 2020 08:43:05 +0800 Subject: MAINT: Chain some exceptions in arraysetops. (#17132) * MAINT: chain type error line 303 arraysetops.py * MAINT: chain axis error line 281 arraysetops.py * Revert "MAINT: chain axis error line 281 arraysetops.py" This reverts commit f6e1f544bebb7e5346cb83bdac9756be6ee9f4f6. * MAINT: chain axis error line 281 arraysetops.py to be from None --- numpy/lib/arraysetops.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) (limited to 'numpy/lib/arraysetops.py') diff --git a/numpy/lib/arraysetops.py b/numpy/lib/arraysetops.py index df9a110c5..6a2ad004c 100644 --- a/numpy/lib/arraysetops.py +++ b/numpy/lib/arraysetops.py @@ -278,7 +278,7 @@ def unique(ar, return_index=False, return_inverse=False, ar = np.moveaxis(ar, axis, 0) except np.AxisError: # this removes the "axis1" or "axis2" prefix from the error message - raise np.AxisError(axis, ar.ndim) + raise np.AxisError(axis, ar.ndim) from None # Must reshape to a contiguous 2D array for this to work... orig_shape, orig_dtype = ar.shape, ar.dtype @@ -300,10 +300,10 @@ def unique(ar, return_index=False, return_inverse=False, # array with shape `(len(ar),)`. Because `dtype` in this case has # itemsize 0, the total size of the result is still 0 bytes. consolidated = np.empty(len(ar), dtype=dtype) - except TypeError: + except TypeError as e: # There's no good way to do this for object arrays, etc... msg = 'The axis argument to unique is not supported for dtype {dt}' - raise TypeError(msg.format(dt=ar.dtype)) + raise TypeError(msg.format(dt=ar.dtype)) from e def reshape_uniq(uniq): n = len(uniq) -- cgit v1.2.1