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The main content of this article is to explain "how to use Numpy random organization to build a 3x3 matrix". Interested friends may wish to have a look. The method introduced in this paper is simple, fast and practical. Let's let the editor take you to learn "how to use Numpy random organization to create a 3x3 matrix".

Create a 3-3 matrix with the mechanism, and print the maximum and minimum values.

Tang_array = np.random.random ((3)) print (tang_array) print (tang_array.min ()) print (tang_array.max ())

Print the results:

[[0.86520798 0.53922514 0.84041116] [0.03992656 0.35510134 0.61663371] [0.69143312 0.09631653 0.7867263]] 0.0399265617724853250.8652079763016397 here, I believe you have a deeper understanding of "how to use Numpy random mechanism to build a 3D3 matrix". 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!

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