Login Register

numpy.asscalar()

numpy.asscalar(a) [source]

Convert an array of size 1 to its scalar equivalent.

Parameters:

a : ndarray

Input array of size 1.

Returns:

out : scalar

Scalar representation of a. The output data type is the same type returned by the input?s item method.

Examples

>>> np.asscalar(np.array([24]))
24

Links:

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

doc_NumPy

2017-01-10 18:12:53

Comments

Leave a Comment

Please login to continue.

Popular Articles

numpy.nanargmin() numpy.nanargmin(a, axis=None) [source] Return the indices of the minimum values in the specified axis ignoring NaNs. For all-NaN slices ValueErro

numpy.exp2() numpy.exp2(x[, out]) = Calculate 2**p for all p in the input array. Parameters: x : array_like Input values. out : ndarray, optional Array t

numpy.mirr() numpy.mirr(values, finance_rate, reinvest_rate) [source] Modified internal rate of return. Parameters: values : array_like Cash flows (must con

numpy.amin() numpy.amin(a, axis=None, out=None, keepdims=False) [source] Return the minimum of an array or minimum along an axis. Parameters: a : array_like

numpy.cross() numpy.cross(a, b, axisa=-1, axisb=-1, axisc=-1, axis=None) [source] Return the cross product of two (arrays of) vectors. The cross product of a a