问题描述
我希望这不是小事,但我想知道以下几点:
I hope this is not trivial but I am wondering the following:
如果我有一个包含 n csv
个文件的特定文件夹,我该如何一次一次地迭代读取所有文件,并对它们的值进行一些计算?
If I have a specific folder with n csv
files, how could I iteratively read all of them, one at a time, and perform some calculations on their values?
例如,对于单个文件,我做类似的事情,并在x
数组上执行一些计算:
For a single file, for example, I do something like this and perform some calculations on the x
array:
import csv
import os
directoryPath=raw_input('Directory path for native csv file: ')
csvfile = numpy.genfromtxt(directoryPath, delimiter=",")
x=csvfile[:,2] #Creates the array that will undergo a set of calculations
我知道我可以检查给定文件夹中有多少csv
个文件(请检查):
I know that I can check how many csv
files there are in a given folder (check here):
import glob
for files in glob.glob("*.csv"):
print files
但是我没有弄清楚如何将numpy.genfromtxt()
函数嵌套在for循环中,因此我只能读取由我指定的目录的所有csv文件.
But I failed to figure out how to possibly nest the numpy.genfromtxt()
function in a for loop, so that I read in all the csv files of a directory that it is up to me to specify.
编辑
我的文件夹中只有jpg
和csv
文件.后者的名称为eventX.csv
,其中 X 的范围是1到50.因此,我所指的for
循环应按原样考虑文件名.
The folder I have only has jpg
and csv
files. The latter are named eventX.csv
, where X ranges from 1 to 50. The for
loop I am referring to should therefore consider the file names the way they are.
推荐答案
我就是这样做的:
import os
directory = os.path.join("c:\\","path")
for root,dirs,files in os.walk(directory):
for file in files:
if file.endswith(".csv"):
f=open(file, 'r')
# perform calculation
f.close()
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