Data type conversion method of NumPy multi-dimensional array

This article mainly explains "the method of data type conversion of NumPy multi-dimensional array". Interested friends may wish to have a look. The method introduced in this paper is simple, fast and practical. Now let the editor to take you to learn the "NumPy multi-dimensional array data type conversion method"!

Python 3.7.4 (tags/v3.7.4:e09359112e, Jul 8 2019, 20:34:20) [MSC v.1916 64 bit (AMD64)] on win32Type "help", "copyright", "credits" or "license ()" for more information. > > import numpy as np > > a = np.arange (12). Reshape (3) > aarray ([[0,1,2,3], [4,5,6,7], [8,9,10] 11]]) > a.dtypedtype ('int32') > b = np.array (a, dtype=np.float32) > barray ([[0, 1, 2, 3.], [4, 5, 6, 7.], [8, 9, 10, 11.], dtype=float32) > > b.dtypedtype (' float32') > so far I believe you have a deeper understanding of the data type conversion method of NumPy multi-dimensional array, so you might as well do it in practice. Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!