Python 在numpy数组上使用布尔运算时出现明显的弃用警告

我遇到了一个问题，我不断收到警告，说明：

VisibleDeprecationWarning: boolean index did not match indexed array along dimension 0; 
dimension is 744 but corresponding boolean dimension is 1

当我尝试使用此选项时：

x_low = xcontacts[(xcontacts[5:6] <= 2000).any(1), :]
x_med = xcontacts[(xcontacts[5:6] <= 4000).any(1), :]
x_med = xcontacts[(xcontacts[5:6] > 2000).any(1), :]
x_hi  = xcontacts[(xcontacts[5:6] > 4000).any(1), :]

以下是该阵列的一个示例：

[[   1.        0.        0.        4.        0.      228.681 ]
 [   2.        4.        0.        8.        0.      219.145 ]
 [   3.        8.        0.       12.        0.      450.269 ]
 ..., 
 [  60.      236.       96.      240.       96.      933.4565]
 [  61.      240.       96.      244.       96.      646.449 ]
 [  62.      244.       96.      248.       96.      533.657 ]]

我正在尝试创建三个新数组，它们是第一个数组的副本，但在对最后一列执行布尔运算后，会删除与运算符不一致的行：

x_low where col5 <= 2000
x_med where 2000 < col5 <= 4000
x_hi where 4000 < col5

---

x_low，其中col5感谢@Syrtis Major，原因如下：

x_low = xcontacts[(xcontacts[:,5] <= 2000)]
x_med = xcontacts[(xcontacts[:,5] <= 4000)]
x_med = xcontacts[(xcontacts[:,5] > 2000)]
x_hi  = xcontacts[(xcontacts[:,5] > 4000)]

x_low=xcontacts[（xcontacts[：，5]4000）]
应该是
xcontacts[：，5:6]
x_low = xcontacts[(xcontacts[:,5] <= 2000)]
x_med = xcontacts[(xcontacts[:,5] <= 4000)]
x_med = xcontacts[(xcontacts[:,5] > 2000)]
x_hi  = xcontacts[(xcontacts[:,5] > 4000)]