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authorJouke Witteveen <j.witteveen@gmail.com>2021-11-28 18:34:49 +0100
committerJouke Witteveen <j.witteveen@gmail.com>2022-05-10 18:19:21 +0200
commit4f1d95aa1fa0910b631e6aea91f5c2033593c11e (patch)
tree7f6b984305793db6d49b12917e9e192f154cf4da /numpy/ma/extras.py
parentff3a9dae0f4b6e539b1170a9d334dcefe862d28f (diff)
downloadnumpy-4f1d95aa1fa0910b631e6aea91f5c2033593c11e.tar.gz
ENH: Add compressed= argument to ma.ndenumerate
Diffstat (limited to 'numpy/ma/extras.py')
-rw-r--r--numpy/ma/extras.py34
1 files changed, 28 insertions, 6 deletions
diff --git a/numpy/ma/extras.py b/numpy/ma/extras.py
index 5f9459b0a..127d4fda8 100644
--- a/numpy/ma/extras.py
+++ b/numpy/ma/extras.py
@@ -1520,18 +1520,26 @@ mr_ = mr_class()
#---- Find unmasked data ---
#####--------------------------------------------------------------------------
-def ndenumerate(a):
+def ndenumerate(a, compressed=True):
"""
Multidimensional index iterator.
- Return an iterator yielding pairs of array coordinates and values of
- elements that are not masked.
+ Return an iterator yielding pairs of array coordinates and values,
+ skipping elements that are masked. With `compressed=False`,
+ `ma.masked` is yielded as the value of masked elements. This
+ behavior differs from that of `numpy.ndenumerate`, which yields the
+ value of the underlying data array.
+
+ Notes
+ -----
.. versionadded:: 1.23.0
-
+
Parameters
----------
a : array_like
An array with (possibly) masked elements.
+ compressed : bool, optional
+ If True (default), masked elements are skipped.
See Also
--------
@@ -1560,10 +1568,24 @@ def ndenumerate(a):
(1, 1) 4
(2, 0) 6
(2, 2) 8
+
+ >>> for index, x in np.ma.ndenumerate(a, compressed=False):
+ ... print(index, x)
+ (0, 0) 0
+ (0, 1) 1
+ (0, 2) 2
+ (1, 0) --
+ (1, 1) 4
+ (1, 2) --
+ (2, 0) 6
+ (2, 1) --
+ (2, 2) 8
"""
- for it, masked in zip(np.ndenumerate(a), getmaskarray(a).flat):
- if not masked:
+ for it, mask in zip(np.ndenumerate(a), getmaskarray(a).flat):
+ if not mask:
yield it
+ elif not compressed:
+ yield it[0], masked
def flatnotmasked_edges(a):