Python：如何向numpy数组添加列？

我有一个数组，如下所示

X
array([[ 0.93387437, -0.6063677 , -1.1959038 ],
       [ 0.53421287, -0.31532495, -1.06524933],
       [ 0.68792884,  0.34513742, -0.90179775],
       ...,
       [-0.41882609, -0.17155083,  1.14911752],
       [-0.04990778,  0.83636566,  0.92968195],
       [-0.48031247,  0.37908409,  1.00781703]])

在哪里

我有一个数据帧

df

    geometry                   data 20  30  40  50  60  80  90  126 200
0   POINT (-17.57616 14.87086)  200 0   0   0   0   0   0   0   0   1
1   POINT (-17.56784 14.87086)  200 0   0   0   0   0   0   0   0   1
2   POINT (-17.55952 14.87086)  200 0   0   0   0   0   0   0   0   1
3   POINT (-17.55119 14.87086)  200 0   0   0   0   0   0   0   0   1
4   POINT (-17.54287 14.87086)  200 0   0   0   0   0   0   0   0   1

shape(df1)
(1700, 11)

我想将列

[20、30、40、50、60、80、90、126、200]

添加到数组中。我试图添加一列，但出现错误

a = np.array(df1.iloc[:,4])
X = np.hstack((X, a))
ValueError: all the input arrays must have same number of dimensions, but the array at index 0 has 2 dimension(s) and the array at index 1 has 1 dimension(s)

试一试

或

---

我收到一个错误

KeyError:'20'

列名'20'看起来像一个字符串，它是'int'，请查看更新的答案

a = np.array(df1.iloc[:,4])
X = np.hstack((X, a))
ValueError: all the input arrays must have same number of dimensions, but the array at index 0 has 2 dimension(s) and the array at index 1 has 1 dimension(s)

a = df.loc[:, 20:120].to_numpy()
X = np.hstack((X, a))

a = df.iloc[:, 2:].to_numpy()
X = np.hstack((X, a))