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-rw-r--r--numpy/lib/index_tricks.py31
1 files changed, 21 insertions, 10 deletions
diff --git a/numpy/lib/index_tricks.py b/numpy/lib/index_tricks.py
index cba713ede..9d3de69dd 100644
--- a/numpy/lib/index_tricks.py
+++ b/numpy/lib/index_tricks.py
@@ -1,6 +1,7 @@
import functools
import sys
import math
+import warnings
import numpy.core.numeric as _nx
from numpy.core.numeric import (
@@ -154,15 +155,15 @@ class nd_grid:
start = 0
if step is None:
step = 1
- if isinstance(step, complex):
+ if isinstance(step, (_nx.complexfloating, complex)):
size.append(int(abs(step)))
typ = float
else:
size.append(
int(math.ceil((key[k].stop - start)/(step*1.0))))
- if (isinstance(step, float) or
- isinstance(start, float) or
- isinstance(key[k].stop, float)):
+ if (isinstance(step, (_nx.floating, float)) or
+ isinstance(start, (_nx.floating, float)) or
+ isinstance(key[k].stop, (_nx.floating, float))):
typ = float
if self.sparse:
nn = [_nx.arange(_x, dtype=_t)
@@ -176,7 +177,7 @@ class nd_grid:
start = 0
if step is None:
step = 1
- if isinstance(step, complex):
+ if isinstance(step, (_nx.complexfloating, complex)):
step = int(abs(step))
if step != 1:
step = (key[k].stop - start)/float(step-1)
@@ -194,7 +195,7 @@ class nd_grid:
start = key.start
if start is None:
start = 0
- if isinstance(step, complex):
+ if isinstance(step, (_nx.complexfloating, complex)):
step = abs(step)
length = int(step)
if step != 1:
@@ -344,7 +345,7 @@ class AxisConcatenator:
start = 0
if step is None:
step = 1
- if isinstance(step, complex):
+ if isinstance(step, (_nx.complexfloating, complex)):
size = int(abs(step))
newobj = linspace(start, stop, num=size)
else:
@@ -659,7 +660,15 @@ class ndindex:
Increment the multi-dimensional index by one.
This method is for backward compatibility only: do not use.
+
+ .. deprecated:: 1.20.0
+ This method has been advised against since numpy 1.8.0, but only
+ started emitting DeprecationWarning as of this version.
"""
+ # NumPy 1.20.0, 2020-09-08
+ warnings.warn(
+ "`ndindex.ndincr()` is deprecated, use `next(ndindex)` instead",
+ DeprecationWarning, stacklevel=2)
next(self)
def __next__(self):
@@ -769,9 +778,11 @@ def fill_diagonal(a, val, wrap=False):
a : array, at least 2-D.
Array whose diagonal is to be filled, it gets modified in-place.
- val : scalar
- Value to be written on the diagonal, its type must be compatible with
- that of the array a.
+ val : scalar or array_like
+ Value(s) to write on the diagonal. If `val` is scalar, the value is
+ written along the diagonal. If array-like, the flattened `val` is
+ written along the diagonal, repeating if necessary to fill all
+ diagonal entries.
wrap : bool
For tall matrices in NumPy version up to 1.6.2, the