将熊猫数据rame行转换为情侣列表

Question

问题已更新

如何转换数据帧，如：

df = 

 0   1   2   3   4   5   6   7   8   9  10  11

 1   2   3   4   5   6 NaN NaN NaN NaN NaN NaN
 7   8   9  10  11  12 NaN NaN NaN NaN NaN NaN
13  14  15  16  17  18 NaN NaN NaN NaN NaN NaN

完全像这样的列表（跳过NaN）：

df_list = 

    [array([[ 1, 2],
            [ 3, 4],
            [ 5, 6]]), array([[ 7, 8],
            [ 9, 10],
            [ 11, 12]]), array([[ 13, 14],
            [ 15, 16],
            [ 17, 18]])]

我已经尝试过df1.values.tolist()，但它并没有给我夫妻

future data frame should be like this

Answer 1

指定每个组中需要多少个项目，并使用FAILURE: Build failed with an exception. * What went wrong: Execution failed for task ':app:processDevDebugGoogleServices'. > No matching client found for package name 'com.***.*****.*********.dev' 的{​​{1}}

---

numpy

reshape

Answer 2

要与您的确切输出匹配：

[df.loc[i].to_numpy().reshape(-1,2) for i in df.index]

输出：

[array([[1, 2],
        [3, 4],
        [5, 6]], dtype=int64), array([[ 7,  8],
        [ 9, 10],
        [11, 12]], dtype=int64), array([[13, 14],
        [15, 16],
        [17, 18]], dtype=int64)]