我们如何在下面的代码中使用 List Comprehension？

Question

This was the given code and I want to use List Comprehension

    import numpy as np
    
    linear_data = np.array([1,2,3,4,5,6,7,8])
    
    plt.figure()
    xvals = range(len(linear_data))
    plt.bar(xvals, linear_data, width = 0.3)
    
    new_xvals = []

plot another set of bars, adjusting the new xvals to make up for the first set of bars plotted

    for item in xvals:
        new_xvals.append(item+0.3)
    
    plt.bar(new_xvals, exponential_data, width = 0.3 ,color='red')

I wrote this line of code but I'm not getting the desired output

    new_xvals = [items for items in xvals new_xvals.append(item+0.3)]

I was getting an error at new_xvals.append(item+0.3) when I used it after "xvals". How do I implement this?

Answer 1

可以使用以下列表理解代码构建列表：

[item+0.3 for item in xvals]

Answer 2

Based on the mistake you're making, I'm guessing you need the more explicit

    new_xvals = [i+0.3 for i in xvals]

The mistake you're making in your code is trying to append to the list in the interpolation.

Interpolation is creates the list all by itself, so all you need to do is assign it to a variable.