I hope this is not trivial but I am wondering the following:
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?
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
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
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.
EDIT
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.
That's how I'd do it:
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()