Insert scalar into an array (scalar is cast to array’s dtype, if possible)
There must be at least 1 argument, and define the last argument as item. Then,
a.itemset(*args)is equivalent to but faster than
a[args] = item. The item should be a scalar value and args must select a single item in the array a.
*args : Arguments
If one argument: a scalar, only used in case a is of size 1. If two arguments: the last argument is the value to be set and must be a scalar, the first argument specifies a single array element location. It is either an int or a tuple.
Compared to indexing syntax,
itemsetprovides some speed increase for placing a scalar into a particular location in an
ndarray, if you must do this. However, generally this is discouraged: among other problems, it complicates the appearance of the code. Also, when using
item) inside a loop, be sure to assign the methods to a local variable to avoid the attribute look-up at each loop iteration.
>>> x = np.random.randint(9, size=(3, 3)) >>> x array([[3, 1, 7], [2, 8, 3], [8, 5, 3]]) >>> x.itemset(4, 0) >>> x.itemset((2, 2), 9) >>> x array([[3, 1, 7], [2, 0, 3], [8, 5, 9]])