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authorMaxwell Bileschi <mlbileschi@google.com>2020-03-25 11:52:31 -0400
committerGitHub <noreply@github.com>2020-03-25 10:52:31 -0500
commit68439794b84836f43ec389be0e702ff64ee76d44 (patch)
treefb4c655710cb659cdec111983f5f11ea5df9ba13 /numpy/lib/user_array.py
parentb03c575834a68f3a8dad5e2974ccee7fa76003ac (diff)
downloadnumpy-68439794b84836f43ec389be0e702ff64ee76d44.tar.gz
ENH: Use TypeError in `np.array` for python consistency (#15784)
Currently, when writing something like ``` pd.DataFrame({'arr': np.array(1., 2., 3.)}) ``` ``` ValueError Traceback (most recent call last) <ipython-input-1-ffdb00ae9b74> in <module>() 1 import numpy as np 2 import pandas as pd ----> 3 pd.DataFrame({'arr': np.array(1., 2., 3.)}) ValueError: only 2 non-keyword arguments accepted ``` This stack trace that doesn't include a frame for the np constructor, because the constructor is generated python code. This may lead users to look elsewhere for the issuer of the ValueError, which may create red-herrings in that folks may look elsewhere. This changes makes it more obvious where the error is coming from. * reflects eric-wieser's suggestion about common error messages * Documents required non-keyword args for np.array * Update numpy/core/src/multiarray/multiarraymodule.c Co-Authored-By: Eric Wieser <wieser.eric@gmail.com> * Update numpy/core/src/multiarray/multiarraymodule.c Co-Authored-By: Eric Wieser <wieser.eric@gmail.com> * Update numpy/core/src/multiarray/multiarraymodule.c Co-Authored-By: Eric Wieser <wieser.eric@gmail.com> * Update multiarraymodule.c Co-authored-by: Eric Wieser <wieser.eric@gmail.com>
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