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-rw-r--r--numpy/core/numeric.py53
1 files changed, 17 insertions, 36 deletions
diff --git a/numpy/core/numeric.py b/numpy/core/numeric.py
index ea2ef900e..c395b1348 100644
--- a/numpy/core/numeric.py
+++ b/numpy/core/numeric.py
@@ -26,6 +26,7 @@ if sys.version_info[0] < 3:
from . import overrides
from . import umath
+from . import shape_base
from .overrides import set_module
from .umath import (multiply, invert, sin, PINF, NAN)
from . import numerictypes
@@ -48,14 +49,6 @@ array_function_dispatch = functools.partial(
overrides.array_function_dispatch, module='numpy')
-def loads(*args, **kwargs):
- # NumPy 1.15.0, 2017-12-10
- warnings.warn(
- "np.core.numeric.loads is deprecated, use pickle.loads instead",
- DeprecationWarning, stacklevel=2)
- return pickle.loads(*args, **kwargs)
-
-
__all__ = [
'newaxis', 'ndarray', 'flatiter', 'nditer', 'nested_iters', 'ufunc',
'arange', 'array', 'zeros', 'count_nonzero', 'empty', 'broadcast', 'dtype',
@@ -66,7 +59,7 @@ __all__ = [
'correlate', 'convolve', 'inner', 'dot', 'outer', 'vdot', 'roll',
'rollaxis', 'moveaxis', 'cross', 'tensordot', 'little_endian',
'fromiter', 'array_equal', 'array_equiv', 'indices', 'fromfunction',
- 'isclose', 'load', 'loads', 'isscalar', 'binary_repr', 'base_repr', 'ones',
+ 'isclose', 'isscalar', 'binary_repr', 'base_repr', 'ones',
'identity', 'allclose', 'compare_chararrays', 'putmask',
'flatnonzero', 'Inf', 'inf', 'infty', 'Infinity', 'nan', 'NaN',
'False_', 'True_', 'bitwise_not', 'CLIP', 'RAISE', 'WRAP', 'MAXDIMS',
@@ -553,8 +546,10 @@ def argwhere(a):
Returns
-------
- index_array : ndarray
+ index_array : (N, a.ndim) ndarray
Indices of elements that are non-zero. Indices are grouped by element.
+ This array will have shape ``(N, a.ndim)`` where ``N`` is the number of
+ non-zero items.
See Also
--------
@@ -562,7 +557,8 @@ def argwhere(a):
Notes
-----
- ``np.argwhere(a)`` is the same as ``np.transpose(np.nonzero(a))``.
+ ``np.argwhere(a)`` is almost the same as ``np.transpose(np.nonzero(a))``,
+ but produces a result of the correct shape for a 0D array.
The output of ``argwhere`` is not suitable for indexing arrays.
For this purpose use ``nonzero(a)`` instead.
@@ -580,6 +576,11 @@ def argwhere(a):
[1, 2]])
"""
+ # nonzero does not behave well on 0d, so promote to 1d
+ if np.ndim(a) == 0:
+ a = shape_base.atleast_1d(a)
+ # then remove the added dimension
+ return argwhere(a)[:,:0]
return transpose(nonzero(a))
@@ -1935,6 +1936,10 @@ def binary_repr(num, width=None):
"will raise an error in the future.", DeprecationWarning,
stacklevel=3)
+ # Ensure that num is a Python integer to avoid overflow or unwanted
+ # casts to floating point.
+ num = operator.index(num)
+
if num == 0:
return '0' * (width or 1)
@@ -2024,30 +2029,6 @@ def base_repr(number, base=2, padding=0):
return ''.join(reversed(res or '0'))
-def load(file):
- """
- Wrapper around cPickle.load which accepts either a file-like object or
- a filename.
-
- Note that the NumPy binary format is not based on pickle/cPickle anymore.
- For details on the preferred way of loading and saving files, see `load`
- and `save`.
-
- See Also
- --------
- load, save
-
- """
- # NumPy 1.15.0, 2017-12-10
- warnings.warn(
- "np.core.numeric.load is deprecated, use pickle.load instead",
- DeprecationWarning, stacklevel=2)
- if isinstance(file, type("")):
- with open(file, "rb") as file_pointer:
- return pickle.load(file_pointer)
- return pickle.load(file)
-
-
# These are all essentially abbreviations
# These might wind up in a special abbreviations module
@@ -2124,7 +2105,7 @@ def allclose(a, b, rtol=1.e-5, atol=1.e-8, equal_nan=False):
The absolute tolerance parameter (see Notes).
equal_nan : bool
Whether to compare NaN's as equal. If True, NaN's in `a` will be
- considered equal to NaN's in `b` in the output array.
+ considered equal to NaN's in `b`.
.. versionadded:: 1.10.0