numpy.ma.intersect1d#

ma.intersect1d(ar1,ar2,assume_unique=False)[source]#

Returns the unique elements common to both arrays.

Masked values are considered equal one to the other.The output is always a masked array.

Seenumpy.intersect1d for more details.

See also

numpy.intersect1d

Equivalent function for ndarrays.

Examples

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>>>importnumpyasnp>>>x=np.ma.array([1,3,3,3],mask=[0,0,0,1])>>>y=np.ma.array([3,1,1,1],mask=[0,0,0,1])>>>np.ma.intersect1d(x,y)masked_array(data=[1, 3, --],             mask=[False, False,  True],       fill_value=999999)

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