通过Python中的索引删除数组列(Remove column of array via indexing in Python)

通过Python中的索引删除数组列(Remove column of array via indexing in Python)

我试图通过索引删除数组中的观察。 我所拥有的是：

import numpy as np test = np.ones([1, 1001])

我想要做的是返回一个与test相同的数组，但是删除了第5个观察结果（即test [0：4 AND 6：]）。 有一个简单的方法吗？

I'm trying to remove an observation in an array via indexing. What I have is:

import numpy as np test = np.ones([1, 1001])

What I want to do is return an array that is the same as test, but having removed the 5th observation (ie, test[0:4 AND 6:]). Is there a simple way to do this?

最满意答案

你可以使用切片和hstack ：

In [18]: test_ex5 = np.hstack((test[:,:5],test[:,6:])) In [19]: test.shape Out[19]: (1, 1001) In [20]: test_ex5.shape Out[20]: (1, 1000)

请注意，您的索引关闭一： test[0:4 AND 6:]会删除两个元素而不是一个元素。

You could use slicing and hstack:

In [18]: test_ex5 = np.hstack((test[:,:5],test[:,6:])) In [19]: test.shape Out[19]: (1, 1001) In [20]: test_ex5.shape Out[20]: (1, 1000)

Note that your indexing is off by one: test[0:4 AND 6:] would delete two elements instead of one.