How to convert array to numpy array with numpy.asarray() function
In this article, you will learn how to convert array to numpy array with numpy.asarray() function.
Syntax: numpy.asarray(a, dtype=None, order=None)
Convert the input to an array.
Parameters:
a : array_like
Input data, in any form that can be converted to an array. This includes lists, lists of tuples, tuples, tuples of tuples, tuples of lists and ndarrays.
dtype : data-type, optional
By default, the data-type is inferred from the input data.
order : {‘C’, ‘F’}, optional
Whether to use row-major (C-style) or column-major (Fortran-style) memory representation. Defaults to ‘C’.
Returns:
out : ndarray
Array interpretation of a. No copy is performed if the input is already an ndarray with matching dtype and order. If a is a subclass of ndarray, a base class ndarray is returned.
import numpy as np
a = [1, 2,3,4]
print(type(a))
a=np.asarray(a)
print(type(a))
Output:
[1, 2, 3, 4]
