numpy.insert — NumPy v2.3 Manual

numpy.insert# numpy.insert(arr, obj, values, axis=None)[source]# Insert values along the given axis before the given indices. Parameters: arrarray_likeInput array. objslice, int, array-like of ints or boolsObject that defines the index or indices before which values is inserted. Changed in version 2.1.2: Boolean indices are now treated as a mask of elements to insert, rather than being cast to the

[kent-where-the-light-is]

“Examples >>>>>> a = np.array([[1, 1], [2, 2], [3, 3]]) >>> a array([[1, 1], [2, 2], [3, 3]]) >>> np.insert(a, 1, 5) array([1, 5, 1, 2, 2, 3, 3]) >>> np.insert(a, 1, 5, axis=1) array([[1, 5, 1], [2, 5, 2], [3, 5, 3]])”