Indexing routines; numpy.where. numpy.where#. numpy.where(condition, [x, y, ]/)#. Return elements chosen from x or y depending on condition. Note. When only ... Numpy.nonzero · Numpy.choose · Numpy.indices · Numpy.extract |
Indices of elements that are non-zero. Indices are grouped by element. This array will have shape (N, a.ndim) where N is the number of non-zero items. See ... |
4 нояб. 2018 г. · Find the indices of elements of x that are in goodvalues. >>> >>> goodvalues = [3, ... |
18 апр. 2013 г. · 4 Answers 4 · A simple and clean way: use np.argwhere to group the indices by element, rather than dimension as in np.nonzero(a) (i.e., np. Index of element in NumPy array [duplicate] - Stack Overflow How to get only the index in numpy.where instead of a tuple Is there a NumPy function to return the first index of something ... Другие результаты с сайта stackoverflow.com |
9 авг. 2024 г. · To find the index of an item in a NumPy array, you can use the np.where() function, which returns the indices of elements that match a given ... |
19 сент. 2024 г. · where() returns the indices of elements that meet the condition. In this example, numpy.where() checks where the condition arr > ... |
ndarrays can be indexed using the standard Python x[obj] syntax, where x is the array and obj the selection. There are different kinds of indexing available ... |
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 index ... |
Compute an array where the subarrays contain index values 0, 1, … varying only along the corresponding axis. Parameters:. |
After a short introduction, the first two sections cover the basic single-axis index types: integer indices, and slices. These are the indices that only work on ... |
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