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Function insert

numpy/lib/function_base.py:5370–5556  ·  view source on GitHub ↗

Insert values along the given axis before the given indices. Parameters ---------- arr : array_like Input array. obj : int, slice or sequence of ints Object that defines the index or indices before which `values` is inserted. .. versionadded:: 1

(arr, obj, values, axis=None)

Source from the content-addressed store, hash-verified

5368
5369@array_function_dispatch(_insert_dispatcher)
5370def insert(arr, obj, values, axis=None):
5371 """
5372 Insert values along the given axis before the given indices.
5373
5374 Parameters
5375 ----------
5376 arr : array_like
5377 Input array.
5378 obj : int, slice or sequence of ints
5379 Object that defines the index or indices before which `values` is
5380 inserted.
5381
5382 .. versionadded:: 1.8.0
5383
5384 Support for multiple insertions when `obj` is a single scalar or a
5385 sequence with one element (similar to calling insert multiple
5386 times).
5387 values : array_like
5388 Values to insert into `arr`. If the type of `values` is different
5389 from that of `arr`, `values` is converted to the type of `arr`.
5390 `values` should be shaped so that ``arr[...,obj,...] = values``
5391 is legal.
5392 axis : int, optional
5393 Axis along which to insert `values`. If `axis` is None then `arr`
5394 is flattened first.
5395
5396 Returns
5397 -------
5398 out : ndarray
5399 A copy of `arr` with `values` inserted. Note that `insert`
5400 does not occur in-place: a new array is returned. If
5401 `axis` is None, `out` is a flattened array.
5402
5403 See Also
5404 --------
5405 append : Append elements at the end of an array.
5406 concatenate : Join a sequence of arrays along an existing axis.
5407 delete : Delete elements from an array.
5408
5409 Notes
5410 -----
5411 Note that for higher dimensional inserts ``obj=0`` behaves very different
5412 from ``obj=[0]`` just like ``arr[:,0,:] = values`` is different from
5413 ``arr[:,[0],:] = values``.
5414
5415 Examples
5416 --------
5417 >>> a = np.array([[1, 1], [2, 2], [3, 3]])
5418 >>> a
5419 array([[1, 1],
5420 [2, 2],
5421 [3, 3]])
5422 >>> np.insert(a, 1, 5)
5423 array([1, 5, 1, ..., 2, 3, 3])
5424 >>> np.insert(a, 1, 5, axis=1)
5425 array([[1, 5, 1],
5426 [2, 5, 2],
5427 [3, 5, 3]])

Callers 3

test_basicMethod · 0.90
test_multidimMethod · 0.90
test_0dMethod · 0.90

Calls 12

normalize_axis_indexFunction · 0.90
onesFunction · 0.90
arangeFunction · 0.85
wrapFunction · 0.85
warnMethod · 0.80
astypeMethod · 0.80
itemMethod · 0.80
asarrayFunction · 0.50
arrayFunction · 0.50
emptyFunction · 0.50
ravelMethod · 0.45
argsortMethod · 0.45

Tested by 3

test_basicMethod · 0.72
test_multidimMethod · 0.72
test_0dMethod · 0.72