- dask.array.true_divide(x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'true_divide'>¶
This docstring was copied from numpy.true_divide.
Some inconsistencies with the Dask version may exist.
Returns a true division of the inputs, element-wise.
Instead of the Python traditional ‘floor division’, this returns a true division. True division adjusts the output type to present the best answer, regardless of input types.
Divisor array. If
x1.shape != x2.shape, they must be broadcastable to a common shape (which becomes the shape of the output).
- outndarray, None, or tuple of ndarray and None, optional
A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.
- wherearray_like, optional
This condition is broadcast over the input. At locations where the condition is True, the out array will be set to the ufunc result. Elsewhere, the out array will retain its original value. Note that if an uninitialized out array is created via the default
out=None, locations within it where the condition is False will remain uninitialized.
For other keyword-only arguments, see the ufunc docs.
- outndarray or scalar
This is a scalar if both x1 and x2 are scalars.
//is the floor division operator and
/the true division operator. The
true_divide(x1, x2)function is equivalent to true division in Python.
>>> x = np.arange(5) >>> np.true_divide(x, 4) array([ 0. , 0.25, 0.5 , 0.75, 1. ])
>>> x/4 array([ 0. , 0.25, 0.5 , 0.75, 1. ])
>>> x//4 array([0, 0, 0, 0, 1])
/operator can be used as a shorthand for
>>> x = np.arange(5) >>> x / 4 array([0. , 0.25, 0.5 , 0.75, 1. ])