np.repeat()
np.repeat()
Repeat each element of an array after themselves.
- Input:
- arr : array_like
- Input array.
- repeats : int or array of ints
- The number of repetitions for each element. repeats is broadcasted to fit the shape of the given axis.
- axis : int, optional (Default flattens array)
- The axis along which to repeat values. By default, use the flattened input array, and return a flat output array.
- Returns:
- An array with repetitions of the original array.
- Return Type:
- numpy ndarray
np.repeat(3, 4) #Iterate over one element
array([3, 3, 3, 3])
np.repeat([1, 2, 3, 4], 2) # Iterate over an array
array([1, 1, 2, 2, 3, 3, 4, 4])
arr = np.array([[1, 2], [3, 4]])
# Default behavior (flattened input)
np.repeat(arr, 2)
np.repeat(arr, 2, axis=0)
array([1, 1, 2, 2, 3, 3, 4, 4])
array( [[1, 2], [1, 2], [3, 4], [3, 4]] )
Problems or suggestions about this page? Fill out our feedback form.