Login Register

numpy.isreal()

numpy.isreal(x) [source]

Returns a bool array, where True if input element is real.

If element has complex type with zero complex part, the return value for that element is True.

Parameters:

x : array_like

Input array.

Returns:

out : ndarray, bool

Boolean array of same shape as x.

See also

isrealobj: Return True if x is not a complex type.

Examples

>>> np.isreal([1+1j, 1+0j, 4.5, 3, 2, 2j])
array([False,  True,  True,  True,  True, False], dtype=bool)

Links:

https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.isreal.html

doc_NumPy

2017-01-10 18:14:33

Comments

Leave a Comment

Please login to continue.

Popular Articles

numpy.isscalar() numpy.isscalar(num) [source] Returns True if the type of num is a scalar type. Parameters: num : any Input argument, can be of any type and sha

numpy.prod() numpy.prod(a, axis=None, dtype=None, out=None, keepdims=False) [source] Return the product of array elements over a given axis. Parameters: a :

numpy.issctype() numpy.issctype(rep) [source] Determines whether the given object represents a scalar data-type. Parameters: rep : any If rep is an instance of

numpy.einsum() numpy.einsum(subscripts, *operands, out=None, dtype=None, order='K', casting='safe') Evaluates the Einstein summation convention on the operands.

numpy.copysign() numpy.copysign(x1, x2[, out]) = Change the sign of x1 to that of x2, element-wise. If both arguments are arrays or sequences, they have to be of