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本帖最后由 shaoheshaohe 于 2019-1-2 11:13 编辑
numpy.intersect1d(ar1, ar2, assume_unique=False)[source]Find the intersection of two arrays.
Return the sorted, unique values that are in both of the input arrays.
| Parameters: | ar1, ar2 : array_like Input arrays.
assume_unique : bool
If True, the input arrays are both assumed to be unique, whichcan speed up the calculation. Default is False.
| | Returns: | intersect1d : ndarray Sorted 1D array of common and unique elements.
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See also
numpy.lib.arraysetops
Module with a number of other functions for performing set operations on arrays.
Examples >>>>>> np.intersect1d([1, 3, 4, 3], [3, 1, 2, 1])
array([1, 3])
To intersect more than two arrays, use functools.reduce:
>>>>>> from functools import reduce
>>> reduce(np.intersect1d, ([1, 3, 4, 3], [3, 1, 2, 1], [6, 3, 4, 2]))
array([3])
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发表于 2019-1-2 11:12:18
