ask God to explain how the results of this a [iMagnej] are all taken out of a. Why do I not understand the meaning expressed by [iMagnej]
? 
ask God to explain how the results of this a [iMagnej] are all taken out of a. Why do I not understand the meaning expressed by [iMagnej]
?
just take it in
as mentioned above, I am going to save about 30, 000 pictures in numpy format first, so that it will be much more convenient and faster to use later. but in the process of running, it seems that there is an error due to insufficient memory, which is r...
1. According to Google s official machine learning course code, there is no problem when executing in an interactive environment, but an error will be reported when executed in vscode; the 2.python code is as follows: import numpy as np np.random.p...
this is a basic random walk problem. according to the contents of the book, I try to find indexes on axis=1 whose absolute value is greater than or equal to 7, but there are always several rows whose index is 0, and the index entered normally is fine....
for example, numpy, I looked at the package structure of numpy on github and found that numpy is a package, but its _ _ init__.py file does not have a function definition such as ones (), and there is no import reference to it, so why can I write numpy.o...
problem description The matrix is as follows: 1,2017,2,5 1,2018,1,5 1,2018,2,4 2,2017,1,5 1,2018,1,2 according to the first three columns, there are three kinds of matrix to produce a new matrix: 1,2017,2,5 1,2018,1,7 1,2018,2,4 2,2017,1,5 one li...
topic description use the numpy gradient function to calculate the gradient related codes Please paste the code text below (do not replace the code with pictures) g = img [0 3, 0:3] g = array ([[138144141], [134, 135, 132], [137, 1...
didn t GMP say the fastest large number operation library on earth? ...
Why do two list-to-np.array, datatypes of exactly the same type become object, and the other floatable! print(len(X_l)) -sharp 2013 print(len(X_s)) -sharp 1980 print(X_l[0].dtype) -sharp float64 print(X_s[0].dtype) -sharp float64 print(X_l[0].shape) ...
involves the calculation of a large amount of data there are multiple loops nested within the use of pandas for calculation extremely slow is there any effective way to speed up? ...