numpy.argmin — NumPy v1.15 Manual (original) (raw)
numpy. argmin(a, axis=None, out=None)[source]¶
Returns the indices of the minimum values along an axis.
| Parameters: | a : array_like Input array. axis : int, optional By default, the index is into the flattened array, otherwise along the specified axis. out : array, optional If provided, the result will be inserted into this array. It should be of the appropriate shape and dtype. |
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| Returns: | index_array : ndarray of ints Array of indices into the array. It has the same shape as _a.shape_with the dimension along axis removed. |
Notes
In case of multiple occurrences of the minimum values, the indices corresponding to the first occurrence are returned.
Examples
a = np.arange(6).reshape(2,3) a array([[0, 1, 2], [3, 4, 5]]) np.argmin(a) 0 np.argmin(a, axis=0) array([0, 0, 0]) np.argmin(a, axis=1) array([0, 0])
Indices of the minimum elements of a N-dimensional array:
ind = np.unravel_index(np.argmin(a, axis=None), a.shape) ind (0, 0) a[ind] 0
b = np.arange(6) b[4] = 0 b array([0, 1, 2, 3, 0, 5]) np.argmin(b) # Only the first occurrence is returned. 0