numpy.log2(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'log2'>
Base-2 logarithm of
New in version 1.3.0.
Logarithm is a multivalued function: for each
x there is an infinite number of
z such that
2**z = x. The convention is to return the
z whose imaginary part lies in
For real-valued input data types,
log2 always returns real output. For each value that cannot be expressed as a real number or infinity, it yields
nan and sets the
invalid floating point error flag.
For complex-valued input,
log2 is a complex analytical function that has a branch cut
[-inf, 0] and is continuous from above on it.
log2 handles the floating-point negative zero as an infinitesimal negative number, conforming to the C99 standard.
>>> x = np.array([0, 1, 2, 2**4]) >>> np.log2(x) array([-Inf, 0., 1., 4.])
>>> xi = np.array([0+1.j, 1, 2+0.j, 4.j]) >>> np.log2(xi) array([ 0.+2.26618007j, 0.+0.j , 1.+0.j , 2.+2.26618007j])
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