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authorMatti Picus <matti.picus@gmail.com>2019-01-04 10:38:48 +0200
committerGitHub <noreply@github.com>2019-01-04 10:38:48 +0200
commitb60b58359eef967ce1e557fd8437a37b68330be9 (patch)
tree224d819ab8a7d2e80a460648f1e8cb231bd4d237 /numpy/core/_methods.py
parentfd89a4137969b676d4449e2b61ecd7f4c5811d7a (diff)
parent5afe650403bdb3aa1a3189c1b8c3233501208521 (diff)
downloadnumpy-b60b58359eef967ce1e557fd8437a37b68330be9.tar.gz
Merge pull request #12644 from mhvk/ufunc-reduce-where-simple
ENH: where for ufunc reductions
Diffstat (limited to 'numpy/core/_methods.py')
-rw-r--r--numpy/core/_methods.py16
1 files changed, 8 insertions, 8 deletions
diff --git a/numpy/core/_methods.py b/numpy/core/_methods.py
index 33f6d01a8..51362c761 100644
--- a/numpy/core/_methods.py
+++ b/numpy/core/_methods.py
@@ -24,20 +24,20 @@ umr_all = um.logical_and.reduce
# avoid keyword arguments to speed up parsing, saves about 15%-20% for very
# small reductions
def _amax(a, axis=None, out=None, keepdims=False,
- initial=_NoValue):
- return umr_maximum(a, axis, None, out, keepdims, initial)
+ initial=_NoValue, where=True):
+ return umr_maximum(a, axis, None, out, keepdims, initial, where)
def _amin(a, axis=None, out=None, keepdims=False,
- initial=_NoValue):
- return umr_minimum(a, axis, None, out, keepdims, initial)
+ initial=_NoValue, where=True):
+ return umr_minimum(a, axis, None, out, keepdims, initial, where)
def _sum(a, axis=None, dtype=None, out=None, keepdims=False,
- initial=_NoValue):
- return umr_sum(a, axis, dtype, out, keepdims, initial)
+ initial=_NoValue, where=True):
+ return umr_sum(a, axis, dtype, out, keepdims, initial, where)
def _prod(a, axis=None, dtype=None, out=None, keepdims=False,
- initial=_NoValue):
- return umr_prod(a, axis, dtype, out, keepdims, initial)
+ initial=_NoValue, where=True):
+ return umr_prod(a, axis, dtype, out, keepdims, initial, where)
def _any(a, axis=None, dtype=None, out=None, keepdims=False):
return umr_any(a, axis, dtype, out, keepdims)