numpy.asfarray()

numpy.asfarray(a, dtype=) [source]

Return an array converted to a float type.

Parameters:

Parameters:	a : array_like The input array. dtype : str or dtype object, optional Float type code to coerce input array `a`. If `dtype` is one of the ?int? dtypes, it is replaced with float64.
Returns:	out : ndarray The input `a` as a float ndarray.

a : array_like

The input array.

dtype : str or dtype object, optional

Float type code to coerce input array a. If dtype is one of the ?int? dtypes, it is replaced with float64.

Returns:

out : ndarray

The input a as a float ndarray.

Examples

>>> np.asfarray([2, 3])
array([ 2.,  3.])
>>> np.asfarray([2, 3], dtype='float')
array([ 2.,  3.])
>>> np.asfarray([2, 3], dtype='int8')
array([ 2.,  3.])

Links:

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

doc_NumPy

2025-01-10 15:47:30

Comments

Popular Articles

numpy.polymul() numpy.polymul(a1, a2) [source] Find the product of two polynomials. Finds the polynomial resulting from the multiplication of the two input polyn

numpy.argsort() numpy.argsort(a, axis=-1, kind='quicksort', order=None) [source] Returns the indices that would sort an array. Perform an indirect sort along the

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.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.ndarray class numpy.ndarray [source] An array object represents a multidimensional, homogeneous array of fixed-size items. An associated data-type object