numpy - spyder ananconda控制台中的Numpy功能。 索引切片？(Numpy functions in spyder ananconda console. Index slicing?)

Question

Can someone explain the codes for these two situations?

(有人可以解释这两种情况的代码吗？)

Any help much appreciated.

(任何帮助，不胜感激。)

I'm using a spyder anaconda console if that helps :slight_smile:

(我正在使用spyder anaconda控制台，如果有帮助的话：slight_smile：)

1. Given:

   (鉴于：)

In []: import numpy as np

(在[]中：将numpy导入为np)

In []: x = (20*np.random.rand(5, 7))//2

(在[]中：x =（20 * np.random.rand（5，7））// 2)

Enter an expression which sets columns 1, 3, and 4 to 1.5.

(输入将第1、3和4列设置为1.5的表达式。)

Use advanced indexing combined with slicing for this.

(为此，请结合使用高级索引和切片。)

2. Given:

   (鉴于：)

In []: import numpy as np

(在[]中：将numpy导入为np)

In []: x = np.zeros((5, 3))

(在[]中：x = np.zeros（（5，3））)

In []: col = np.arange(5.0) ``

(在[]：col = np.arange（5.0）``)

Enter an expression which adds col to column 1 of x.

(输入一个表达式，将col添加到x的第1列。)

  ask by sam translate from so

Answer 1

等待大神答复