np. unravel_ Index() finds the index value of an element (or group of elements) of the array after being pulled into one dimension. The corresponding index value in the original dimension (or specify

np.unravel_index()     Generally speaking, it is related to np.argmax(A)   or np.argmin(A) In combination with
https://blog.csdn.net/MaeveShi/article/details/107378520

One sentence summary ： Find an element of the array （ Or a group of elements ） The index value after being pulled into one dimension is in the original dimension （ Or specify a new dimension ） The corresponding index in
The summary given on the official website is convert a flat index or array of flat indices into a tuple of coordinate arrays.

ind_max = np.argmax(A)   The return is to pull 1 Index of the array of dimensions
print(ind_max)
18
# Known by observation , 18 It's a matrix A in 99 Index value after stretching into one dimension , Next use unravel_index Ask it in its own dimension （2,3,5） Index value under
ind_max_src = np.unravel_index(ind_max, A.shape)

https://blog.csdn.net/MaeveShi/article/details/107378520