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This article mainly introduces "how to use numpy.newaxis of NumPy". In daily operation, I believe many people have doubts about how to use numpy.newaxis of NumPy. The editor consulted all kinds of materials and sorted out simple and easy-to-use operation methods. I hope it will be helpful to answer the doubts about "how to use numpy.newaxis of NumPy". Next, please follow the editor to study!

Numpy.newaxis is an alias for None, which is no different from None. It is used to expand the dimension of ndarray multi-dimensional array. For more information, please see the code:

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 > > from numpy import newaxis as newaxis > > newaxis > > print (newaxis) None > > newaxis = = NoneTrue > > newaxis is NoneTrue > x = np.arange (3) > > xarray ([0,1,2]) > > x [:, newaxis] array ([[0], [1]) [2]]) > > x [:, None] array ([0], [1], [2]]) > > x [:, newaxis, newaxis] array ([0]], [[1], [2]]) > > x [:, None, None] array ([0]], [[1]], [2]]) > > x [:, newaxis] * xarray ([[0,0,0], [0,1,1]) 2], [0,2,4]) > > y = np.arange (3,6) > > x [:, newaxis] * yarray ([0,0,0], [3,4,5], [6,8,10]]) > > x [newaxis,:] .shape (1,3) > > x [newaxis] .shape (1,3) > > x [newaxis] .shape (1,3) > > x [:, newaxis] .shape (3,1) > > x: None] .shape (3,1) > so far The study on "how to use NumPy's numpy.newaxis" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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