文件之间的python均值 [英] python mean between file

问题描述

我现在创建一个包含一千多个文件的列表(基本上现在我有一个包含文件名的列表)，目的是使这个我认为愿意做这个事情的人(假设asch文件有20行):

I create a list of more than a thousand file (Basically now I have a list with the name of the file) now in order to make the man I thought to do something like this (suppose asch file have 20 lines):

matrix = np.zeros((len(file_list),10))

然后我要给矩阵充电:.

then I'm going to charge the matrix .. with something like :

for i,j in zip(len(file_list)) :
    matrix[i].append(np.genfromtxt('name1',usecols=(1,))) 

现在有一种方法可以不定义文件行数???

Now is there a way not to define the number of file's line ???

然后..我如何在此文件之间取平均值?

then .. how can i make a mean between this file ??

糟糕，我看到numpy数组没有附加..我该怎么办

Ops I see that numpy array have not append ..how can I do

推荐答案

首先，您可以将它们存储在列表中:

First, you can just store them in a list:

My_list = []
for i,j in zip(len(file_list)) :
    My_list.append(np.genfromtxt('name1',usecols=(1,)))  

假设所有文件的行和列数相同，则可以将其转换为numpy数组:

Assuming that all your files have the same number of lines and columns, you can then convert it to a numpy array:

My_list = np.array(My_list)

My_list 现在是一个numpy数组，其维数对应于已加载文件的大小+一个维数，对应于文件数.

My_list is now a numpy array, with dimensions corresponding to the size of the loaded files + one corresponding to the number of files.

请注意，我没有检查文件的加载方式.

Note that I did not check the way you're loading files.

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