MCPcopy Create free account
hub / github.com/numpy/numpy / as_strided

Function as_strided

numpy/lib/stride_tricks.py:38–115  ·  view source on GitHub ↗

Create a view into the array with the given shape and strides. .. warning:: This function has to be used with extreme care, see notes. Parameters ---------- x : ndarray Array to create a new. shape : sequence of int, optional The shape of the new array. Def

(x, shape=None, strides=None, subok=False, writeable=True)

Source from the content-addressed store, hash-verified

36
37
38def as_strided(x, shape=None, strides=None, subok=False, writeable=True):
39 """
40 Create a view into the array with the given shape and strides.
41
42 .. warning:: This function has to be used with extreme care, see notes.
43
44 Parameters
45 ----------
46 x : ndarray
47 Array to create a new.
48 shape : sequence of int, optional
49 The shape of the new array. Defaults to ``x.shape``.
50 strides : sequence of int, optional
51 The strides of the new array. Defaults to ``x.strides``.
52 subok : bool, optional
53 .. versionadded:: 1.10
54
55 If True, subclasses are preserved.
56 writeable : bool, optional
57 .. versionadded:: 1.12
58
59 If set to False, the returned array will always be readonly.
60 Otherwise it will be writable if the original array was. It
61 is advisable to set this to False if possible (see Notes).
62
63 Returns
64 -------
65 view : ndarray
66
67 See also
68 --------
69 broadcast_to : broadcast an array to a given shape.
70 reshape : reshape an array.
71 lib.stride_tricks.sliding_window_view :
72 userfriendly and safe function for the creation of sliding window views.
73
74 Notes
75 -----
76 ``as_strided`` creates a view into the array given the exact strides
77 and shape. This means it manipulates the internal data structure of
78 ndarray and, if done incorrectly, the array elements can point to
79 invalid memory and can corrupt results or crash your program.
80 It is advisable to always use the original ``x.strides`` when
81 calculating new strides to avoid reliance on a contiguous memory
82 layout.
83
84 Furthermore, arrays created with this function often contain self
85 overlapping memory, so that two elements are identical.
86 Vectorized write operations on such arrays will typically be
87 unpredictable. They may even give different results for small, large,
88 or transposed arrays.
89
90 Since writing to these arrays has to be tested and done with great
91 care, you may want to use ``writeable=False`` to avoid accidental write
92 operations.
93
94 For these reasons it is advisable to avoid ``as_strided`` when
95 possible.

Callers 10

iter_random_view_pairsFunction · 0.90
get_data_variationMethod · 0.90
__init__Method · 0.90
test_as_stridedFunction · 0.90
as_strided_writeableFunction · 0.90
test_subclassesFunction · 0.90
test_writeableFunction · 0.90
sliding_window_viewFunction · 0.85

Calls 2

_maybe_view_as_subclassFunction · 0.85
DummyArrayClass · 0.70

Tested by 8

iter_random_view_pairsFunction · 0.72
get_data_variationMethod · 0.72
test_as_stridedFunction · 0.72
as_strided_writeableFunction · 0.72
test_subclassesFunction · 0.72
test_writeableFunction · 0.72