如何获取 3D numpy 数组中除最后一列之外的所有列?
How to get the all columns except last column in 3D numpy array?
我有一个由各种列组成的 3D 数组。我只想切分最后一列。该数组如下所示:
array([[[5.45454545e-01, 6.36363636e-01, 7.27272727e-01, ...,
1.00000000e+00, 0.00000000e+00, 9.09090909e-02],
[5.45454545e-01, 6.36363636e-01, 7.27272727e-01, ...,
1.00000000e+00, 0.00000000e+00, 9.09090909e-02],
[5.45454545e-01, 6.36363636e-01, 7.27272727e-01, ...,
1.00000000e+00, 0.00000000e+00, 9.09090909e-02]
我试过下面的代码。但它只显示最后一列,而我想显示除最后一列以外的所有列值。
df[:, :-1]
IUUC,你可以使用:
a[..., :-1] # equivalent to a[:,:,:-1]
示例输入:
a = np.arange(3**3).reshape(3,3,3)
array([[[ 0, 1, 2],
[ 3, 4, 5],
[ 6, 7, 8]],
[[ 9, 10, 11],
[12, 13, 14],
[15, 16, 17]],
[[18, 19, 20],
[21, 22, 23],
[24, 25, 26]]])
匹配输出:
a[..., :-1]
array([[[ 0, 1],
[ 3, 4],
[ 6, 7]],
[[ 9, 10],
[12, 13],
[15, 16]],
[[18, 19],
[21, 22],
[24, 25]]])
我有一个由各种列组成的 3D 数组。我只想切分最后一列。该数组如下所示:
array([[[5.45454545e-01, 6.36363636e-01, 7.27272727e-01, ...,
1.00000000e+00, 0.00000000e+00, 9.09090909e-02],
[5.45454545e-01, 6.36363636e-01, 7.27272727e-01, ...,
1.00000000e+00, 0.00000000e+00, 9.09090909e-02],
[5.45454545e-01, 6.36363636e-01, 7.27272727e-01, ...,
1.00000000e+00, 0.00000000e+00, 9.09090909e-02]
我试过下面的代码。但它只显示最后一列,而我想显示除最后一列以外的所有列值。
df[:, :-1]
IUUC,你可以使用:
a[..., :-1] # equivalent to a[:,:,:-1]
示例输入:
a = np.arange(3**3).reshape(3,3,3)
array([[[ 0, 1, 2],
[ 3, 4, 5],
[ 6, 7, 8]],
[[ 9, 10, 11],
[12, 13, 14],
[15, 16, 17]],
[[18, 19, 20],
[21, 22, 23],
[24, 25, 26]]])
匹配输出:
a[..., :-1]
array([[[ 0, 1],
[ 3, 4],
[ 6, 7]],
[[ 9, 10],
[12, 13],
[15, 16]],
[[18, 19],
[21, 22],
[24, 25]]])