The most complete list of Numpy functions in history, the instructor said that I have summarized it well!

Earlier I told you how to distinguish between axis=0 and axis=1 in Numpy.

Today, I will introduce you to the last lesson of Numpy, the complete list of Numpy functions. I hope that when you use any function, you can learn it by yourself. Here is a summary for you.

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Since there are so many functions, I won't introduce them to you one by one here, just go to the picture above, and you can go on and learn by yourself!

1. Several functions to create arrays

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4. Unary calculation function

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5. Multivariate calculation function

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8. Common calculation functions

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9. Array selection: slicing and indexing

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