numpy.ediff1d()

numpy.ediff1d(ary, to_end=None, to_begin=None) [source]

The differences between consecutive elements of an array.

Parameters:

Parameters:	ary : array_like If necessary, will be flattened before the differences are taken. to_end : array_like, optional Number(s) to append at the end of the returned differences. to_begin : array_like, optional Number(s) to prepend at the beginning of the returned differences.
Returns:	ediff1d : ndarray The differences. Loosely, this is `ary.flat[1:] - ary.flat[:-1]`.

ary : array_like

If necessary, will be flattened before the differences are taken.

to_end : array_like, optional

Number(s) to append at the end of the returned differences.

to_begin : array_like, optional

Number(s) to prepend at the beginning of the returned differences.

Returns:

ediff1d : ndarray

The differences. Loosely, this is ary.flat[1:] - ary.flat[:-1].

When applied to masked arrays, this function drops the mask information if the to_begin and/or to_end parameters are used.

>>> x = np.array([1, 2, 4, 7, 0])
>>> np.ediff1d(x)
array([ 1,  2,  3, -7])

>>> np.ediff1d(x, to_begin=-99, to_end=np.array([88, 99]))
array([-99,   1,   2,   3,  -7,  88,  99])

The returned array is always 1D.

>>> y = [[1, 2, 4], [1, 6, 24]]
>>> np.ediff1d(y)
array([ 1,  2, -3,  5, 18])

Links:

doc_NumPy

2025-01-10 15:47:30

Comments