Αποτελέσματα Αναζήτησης
2 Ιουλ 2017 · First we prepare the new index array: >>> idx = numpy.array(list( ... numpy.ndindex(*inp.shape[:2], 1) # Python 3 syntax ... )) Then we update the column which corresponds to the third axis: >>> idx[:, 2] = indices[idx[:, 0], idx[:, 1]] Now we can select the elements and simply reshape the result: >>> inp[tuple(idx.T)].reshape(*inp.shape[:2])
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 depending on obj: basic indexing, advanced indexing and field access. Most of the following examples show the use of indexing when referencing data in an array.
Use the axis keyword to get the indices of maximum and minimum values along a specific axis: >>> np . argmax ( a , axis = 0 ) array([[1, 1, 1, 1, 1], [1, 1, 1, 1, 1], [1, 1, 1, 1, 1]]) >>> np . argmax ( a , axis = 1 ) array([[2, 2, 2, 2, 2], [2, 2, 2, 2, 2]]) >>> np . argmax ( a , axis = 2 ) array([[4, 4, 4], [4, 4, 4]]) >>> np . argmin ( a ...
26 Μαρ 2014 · ndarrays can be indexed using the standard Python x [obj] syntax, where x is the array and obj the selection. There are three kinds of indexing available: record access, basic slicing, advanced indexing. Which one occurs depends on obj. Note.
25 Ιουλ 2024 · Indexing a NumPy array means accessing the elements of the NumPy array at the given index. There are two types of indexing in NumPy: basic indexing and advanced indexing. Slicing a NumPy array means accessing the subset of the array. It means extracting a range of elements from the data.
You can convert a numpy array to list and get its index . for example: tmp = [1,2,3,4,5] #python list a = numpy.array(tmp) #numpy array i = list(a).index(2) # i will return index of 2, which is 1
10 Ιουν 2024 · Indexing a NumPy array means accessing the elements of the NumPy array at the given index. There are two types of indexing in NumPy: basic indexing and advanced indexing. Slicing a NumPy array means accessing the subset of the array.
