-
matrix.var(axis=None, dtype=None, out=None, ddof=0)
[source] -
Returns the variance of the matrix elements, along the given axis.
Refer to
numpy.var
for full documentation.See also
Notes
This is the same as
ndarray.var
, except that where anndarray
would be returned, amatrix
object is returned instead.Examples
12345678910111213>>> x
=
np.matrix(np.arange(
12
).reshape((
3
,
4
)))
>>> x
matrix([[
0
,
1
,
2
,
3
],
[
4
,
5
,
6
,
7
],
[
8
,
9
,
10
,
11
]])
>>> x.var()
11.916666666666666
>>> x.var(
0
)
matrix([[
10.66666667
,
10.66666667
,
10.66666667
,
10.66666667
]])
>>> x.var(
1
)
matrix([[
1.25
],
[
1.25
],
[
1.25
]])
matrix.var()
2017-01-10 18:11:30
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