delta/python-packages/numpy.git/numpy/lib/nanfunctions.py, branch treddy_issue_18273 github.com: numpy/numpy.git DOC: Nupydoc format space before `:` in Parameters 2021-01-31T16:42:13+00:00 Matthias Bussonnier bussonniermatthias@gmail.com 2021-01-31T16:33:32+00:00 71ac6b78a14206a8e3b8f5f7e55d0af8ef6b4bf5 Missing `s` in two spellings. 
Missing `s` in two spellings.
Fix docstring cross-referencing 2020-09-04T18:23:42+00:00 Albert Villanova del Moral 8515462+albertvillanova@users.noreply.github.com 2020-09-04T18:23:42+00:00 8599fe0abc88f584ee45b54654833cdccefc3cd0 






MAINT: Remove unnecessary 'from __future__ import ...' statements
2020-01-03T15:48:11+00:00

Jon Dufresne
jon.dufresne@gmail.com

2019-08-27T11:36:38+00:00

ed1e9659f103260a32536b4a7615393e3b1173dc

As numpy is Python 3 only, these import statements are now unnecessary
and don't alter runtime behavior.





As numpy is Python 3 only, these import statements are now unnecessary
and don't alter runtime behavior.







PERF: only copy input array in _replace_nan() if there are nans to replace
2019-12-03T03:47:18+00:00

Christopher Whelan
topherwhelan@gmail.com

2019-12-01T17:40:25+00:00

2b51aa217bb7577f6c43c26f1156d9fc29536f96












ENH: add OO->? loops, use np.compare(a, b, dtype=bool), add comments
2019-10-30T08:54:51+00:00

mattip
matti.picus@gmail.com

2019-10-30T08:54:51+00:00

5c778954cc801fd2272fa6aeb89b85868aa25899












WIP, DEP, ENH: finish richcompare changes from 1.10
2019-10-29T21:10:31+00:00

mattip
matti.picus@gmail.com

2019-10-29T21:10:31+00:00

647ea1908cc33eb2f9fb6c5828cfb895f8663cc0












DOC: fix output argument reference
2019-10-14T21:58:20+00:00

mattip
matti.picus@gmail.com

2019-10-14T21:58:20+00:00

4bc65bfc3763fefc9033d44921b3a1dcc5a07efd












DOC: Fixed dtype docs for var, nanvar.
2019-08-27T02:39:32+00:00

Isaac Virshup
ivirshup@gmail.com

2019-08-27T02:32:52+00:00

8c0bb22cb5b0979defe11e4befd20f7b79f5da08

Docs incorrectly stated that the default output dtype was float32 when
input array is of an integer dtype. However:

```python
np.var(np.random.randint(0, 100, 1000)).dtype == np.dtype("f8")
```





Docs incorrectly stated that the default output dtype was float32 when
input array is of an integer dtype. However:

```python
np.var(np.random.randint(0, 100, 1000)).dtype == np.dtype("f8")
```







Update nanfunctions.py
2019-06-15T01:02:38+00:00

He Jia
he.jia.phy@gmail.com

2019-06-15T01:02:38+00:00

855a712f5bce3b3ca9f7fef41d93105fa2c22c86












BUG: Increment stacklevel for warnings to account for NEP-18 overrides (#13589)
2019-05-20T16:37:18+00:00

Stephan Hoyer
shoyer@gmail.com

2019-05-20T16:37:18+00:00

f9c1502e7ace9b48f0256a77c560aae43763a1f2

* Increment stacklevel for warnings to account for NEP-18 overrides

For NumPy functions that make use of `__array_function__`, the appropriate the
stack level for warnings should generally be increased by 1 to account for
the override function defined in numpy.core.overrides.

Fixes GH-13329

* Update numpy/lib/type_check.py

Co-Authored-By: Sebastian Berg <sebastian@sipsolutions.net>





* Increment stacklevel for warnings to account for NEP-18 overrides

For NumPy functions that make use of `__array_function__`, the appropriate the
stack level for warnings should generally be increased by 1 to account for
the override function defined in numpy.core.overrides.

Fixes GH-13329

* Update numpy/lib/type_check.py

Co-Authored-By: Sebastian Berg <sebastian@sipsolutions.net>