numpy.intersect1d — NumPy v1.11 Manual (original) (raw)
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, which can speed up the calculation. Default is False. |
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| Returns: | intersect1d : ndarray Sorted 1D array of common and unique elements. |
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])