npi.indices can be viewed as an n-dimensional generalisation of list.index. It will act on nd-arrays (along a specified axis); and also ... ... <看更多>

You can access an array element by referring to its index number. The indexes in NumPy arrays start with 0, meaning that the first element has ... ... <看更多>

Data manipulation in Python is nearly synonymous with NumPy array manipulation: ... Indexing of arrays: Getting and setting the value of individual array ... ... <看更多>

The best way to do this is how @GarethRees suggested in the comments: >>> arr[np.arange(4), keys] array([1, 3, 7, 11]). ... <看更多>

Actually, np.argmax returns indexes of maximum values along some axis. ... import numpy as np data = np.array([0.3, 0.7, 0.5]) indexes ... ... <看更多>