numpy.asarray() - ( Creating Arrays with NumPy )

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Syntax

numpy.asarray(a, dtype=None, order=None)

Example

import numpy as np

a = [1, 2, 3, 4, 5]
arr = np.asarray(a)

print(arr)

Output

[1 2 3 4 5]

Explanation

The numpy.asarray() function is used to create an array from a given sequence or iterable. The function accepts a sequence or iterable as input and returns a new NumPy array that is created from the input. The input can be a list, tuple, or any sequence type that can be iterated. The function also accepts an optional dtype and order argument, which can be used to specify the data type and memory layout of the output array.

Use

The numpy.asarray() function is useful in situations where we need to convert a given sequence or iterable to a NumPy array. This function can be used on any sequence or iterable in Python.

Important Points

• numpy.asarray() creates a new NumPy array from a given sequence or iterable
• The function can be used on any sequence or iterable in Python
• The optional dtype and order arguments can be used to specify the data type and memory layout of the output array

Summary

In conclusion, the numpy.asarray() function is a useful tool for creating a new NumPy array from a given sequence or iterable. This function can be used on any sequence or iterable in Python. The function returns a new NumPy array that is created from the input, with an optional dtype and order argument that can be used to specify the data type and memory layout of the output array.