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This article will explain in detail how to analyze npy files and npz files. The content of the article is of high quality, so the editor will share it with you for reference. I hope you will have a certain understanding of the relevant knowledge after reading this article.

Npy File-- A binary format dedicated to Numpy

Np.load () and np.save () are two important functions for reading and writing disk array data. When used, the array is saved in an uncompressed original binary format in a file with a .npy extension. After saving as a .npy file, if you use notepad or other tools to open the browser, there will be garbled code, so if you want to be able to browse the content after saving, it is recommended not to use the .npy file.

Npz files-compressed files

You can save multiple arrays to the same file using the np.savez () function. The np.savez () function outputs a compressed file with a .npz extension, which contains multiple npy files corresponding to the saved array (saved by the save () function), and the file name corresponds to the array name.

The np.load () function is used when reading .npz files, which returns an object similar to a dictionary, so multiple arrays can be accessed by using the array name as a keyword

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