-
numpy.log2(x[, out]) =
-
Base-2 logarithm of
x
.Parameters: x : array_like
Input values.
Returns: y : ndarray
Base-2 logarithm of
x
.Notes
New in version 1.3.0.
Logarithm is a multivalued function: for each
x
there is an infinite number ofz
such that2**z = x
. The convention is to return thez
whose imaginary part lies in[-pi, pi]
.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 yieldsnan
and sets theinvalid
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.Examples
123>>> x
=
np.array([
0
,
1
,
2
,
2
*
*
4
])
>>> np.log2(x)
array([
-
Inf,
0.
,
1.
,
4.
])
123>>> 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
])
numpy.log2()

2025-01-10 15:47:30
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