nlcpy.sqrt
- nlcpy.sqrt = <ufunc 'nlcpy_sqrt'>
Computes the element-wise square-root of the input.
- Parameters
- xarray_like
Input an array or a scalar.
- outndarray or 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.- **kwargs
For other keyword-only arguments, see the section Optional Keyword Arguments.
- Returns
- yndarray
A ndarray, containing the square-root for each element of x. If elements of x are real with negative elements, this function returns
nan
in y. If x is a scalar, this function returns the result as a 0-dimension ndarray.
Examples
>>> import nlcpy as vp >>> vp.sqrt([1,4,9]) array([1., 2., 3.]) >>> vp.sqrt([4, -1, -3+4j]) array([2.+0.j, 0.+1.j, 1.+2.j]) >>> vp.sqrt([4, -1, vp.inf]) array([ 2., nan, inf])