在for循环中创建numpy数组 [英] creating numpy arrays in a for loop

问题描述

我希望能够根据可以更改的数字创建numpy数组.
例如，假设我有50个文本文件，其中包含2x2的数字集

I would like to be able to create numpy arrays based on a number that could change.
For example, say I have 50 text files containing a 2x2 set of numbers

我想将这50个文件加载为numpy数组，并在以后的代码中使用它们.代码示例可能类似于:

I would like to load those 50 files as numpy arrays and use them later in the code. A sample of code may look like:

import load numpy as np
num = 50  #this could change based on different conditions

for i in arange(num):
    data%d % i = np.loadtxt("datafromafile%d.txt" % i)

这可能吗? 谢谢

推荐答案

您可以将它们存储在列表中:

You can store them in a list:

data = list()
for i in arange(num):
    data.append(np.loadtxt("datafromafile%d.txt" % i))

然后您可以使用以下命令访问每个阵列:

Then you can access each array with:

>>> data[0] + data[1] # sum of the first and second numpy array

这篇关于在for循环中创建numpy数组的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！