ediff1d(ary, to_end=None, to_begin=None)
This docstring was copied from numpy.ediff1d.
Some inconsistencies with the Dask version may exist.
When applied to masked arrays, this function drops the mask information if the :None:None:`to_begin` and/or :None:None:`to_end` parameters are used.
If necessary, will be flattened before the differences are taken.
Number(s) to append at the end of the returned differences.
Number(s) to prepend at the beginning of the returned differences.
The differences. Loosely, this is ary.flat[1:] - ary.flat[:-1]
.
The differences between consecutive elements of an array.
>>> x = np.array([1, 2, 4, 7, 0]) # doctest: +SKIPThis example is valid syntax, but we were not able to check execution
... np.ediff1d(x) # doctest: +SKIP array([ 1, 2, 3, -7])
>>> np.ediff1d(x, to_begin=-99, to_end=np.array([88, 99])) # doctest: +SKIP array([-99, 1, 2, ..., -7, 88, 99])
The returned array is always 1D.
This example is valid syntax, but we were not able to check execution>>> y = [[1, 2, 4], [1, 6, 24]] # doctest: +SKIPSee :
... np.ediff1d(y) # doctest: +SKIP array([ 1, 2, -3, 5, 18])
The following pages refer to to this document either explicitly or contain code examples using this.
dask.array.routines.diff
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