Saya perlu menemukan indeks lebih dari satu nilai minimum yang terjadi dalam array. Saya cukup dikenal dengan
Ini memberi saya 0, sebagai gantinya saya mengharapkan, 0,5,7. Terima kasih! Ini harus melakukan trik:
argmin tidak mengembalikan daftar seperti yang Anda harapkan dalam hal ini. Mungkin
Itu akan memberi [0,5,7]. Saya pikir ini akan menjadi cara termudah, meskipun tidak menggunakan fungsi numpy mewah Untuk array multidimensi Anda dapat menggunakan kata kunci
Dan untuk mengambil item:
Tetapi perhatikan bahwa ini tidak akan mengembalikan hasil yang diurutkan. Dalam hal ini Anda dapat menggunakan
Berikut ini sebuah contoh: Element-wise minimum of array elements. Compare two arrays and returns a new array containing the element-wise minima. If one of the elements being compared is a NaN, then that element is returned. If both elements are NaNs then the first is returned. The latter distinction is important for complex NaNs, which are defined as at least one of the real or imaginary parts being a NaN. The net effect is that NaNs are propagated. Parametersx1, x2array_likeThe arrays holding the elements to be compared. If A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs. wherearray_like, optionalThis condition is broadcast over the input. At locations where the condition is True, the out array will be set to the ufunc result. Elsewhere, the out array will retain its original value. Note that if an uninitialized out array is created via the default For other keyword-only arguments, see the ufunc docs. Returnsyndarray or scalarThe minimum of x1 and x2, element-wise. This is a scalar if both x1 and x2 are scalars. See also maximum Element-wise maximum of two arrays, propagates NaNs. fmin Element-wise minimum of two arrays, ignores NaNs. amin The minimum value of an array along a given axis, propagates NaNs. nanmin The minimum value of an array along a given axis, ignores NaNs. fmax , amax , nanmax Notes The minimum is equivalent to Examples >>> np.minimum([2, 3, 4], [1, 5, 2]) array([1, 3, 2]) >>> np.minimum(np.eye(2), [0.5, 2]) # broadcasting array([[ 0.5, 0. ], [ 0. , 1. ]]) >>> np.minimum([np.nan, 0, np.nan],[0, np.nan, np.nan]) array([nan, nan, nan]) >>> np.minimum(-np.Inf, 1) -inf |