setitem(x, v, indices)
Assign v to indices of x.
The array to be assigned to.
The values which will be assigned.
The indices describing the elements of x to be assigned from v. One index per axis.
Note that an individual index can not be a :None:None:`list`, use a 1-d numpy array instead.
If a 1-d numpy array index contains the non-valid value of the size of the corresponding dimension of x, then those index elements will be removed prior to the assignment (see :None:None:`block_index_from_1d_index` function).
A new independent array with assigned elements, unless v is empty (i.e. has zero size) in which case then the input array is returned and the indices are ignored.
Chunk function of setitem_array
.
>>> x = np.arange(8).reshape(2, 4)This example is valid syntax, but we were not able to check execution
... setitem(x, np.array(-99), [np.array([False, True])]) array([[ 0, 1, 2, 3], [-99, -99, -99, -99]])
>>> x array([[0, 1, 2, 3], [4, 5, 6, 7]])This example is valid syntax, but we were not able to check execution
>>> setitem(x, np.array([-88, -99]), [slice(None), np.array([1, 3])]) array([[ 0, -88, 2, -99], [ 4, -88, 6, -99]])This example is valid syntax, but we were not able to check execution
>>> setitem(x, -x, [slice(None)]) array([[ 0, -1, -2, -3], [-4, -5, -6, -7]])This example is valid syntax, but we were not able to check execution
>>> x array([[0, 1, 2, 3], [4, 5, 6, 7]])This example is valid syntax, but we were not able to check execution
>>> setitem(x, np.array([-88, -99]), [slice(None), np.array([4, 4, 3, 4, 1, 4])]) array([[ 0, -99, 2, -88], [ 4, -99, 6, -88]])This example is valid syntax, but we were not able to check execution
>>> value = np.where(x < 0)[0]This example is valid syntax, but we were not able to check execution
... value.size 0
>>> y = setitem(x, value, [Ellipsis])See :
... y is x True
The following pages refer to to this document either explicitly or contain code examples using this.
dask.array.slicing.setitem
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