numpy.lcm
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numpy.lcm(x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'lcm'>
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Returns the lowest common multiple of
|x1|
and|x2|
- Parameters
-
-
x1, x2array_like, int
-
Arrays of values. If
x1.shape != x2.shape
, they must be broadcastable to a common shape (which becomes the shape of the output).
-
- Returns
-
-
yndarray or scalar
-
The lowest common multiple of the absolute value of the inputs This is a scalar if both
x1
andx2
are scalars.
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See also
-
gcd
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The greatest common divisor
Examples
>>> np.lcm(12, 20) 60 >>> np.lcm.reduce([3, 12, 20]) 60 >>> np.lcm.reduce([40, 12, 20]) 120 >>> np.lcm(np.arange(6), 20) array([ 0, 20, 20, 60, 20, 20])
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https://numpy.org/doc/1.20/reference/generated/numpy.lcm.html