So I'm using Pyhton, and I have a parent directory, with two child directories, in turn containing many directories, each with three files. I want to take the third file (which is a.CSV file) of each of these directories, and parse them together into a pandas dataframe. This is the code I have this far
import os
rootdir ='C:\\Dir\\Dir\\Dir\\root(parent)dir'
# os.listdir(rootdir)
# os.getcwd()
filelist = os.listdir(rootdir)
# file_count = len(filelist)
def list_files(dir):
r = []
for root, dirs, files in os.walk(dir):
# if files.startswith('C74'):
for name in files:
r.append(os.path.join(root, name))
return r
filelist = list_files(rootdir)
Now with "filelist" I get all file paths contained in all directories as strings. Now I need to find: 1. The file names that begin with three specific letters (for example funtest, in this case the first letters being fun) 2. Take every third file, and construct a pandas dataframe from that, so that I can proceed to perform data analysis.
IIUC we can do this much easier using a recursive function from pathlib:
from pathlib import Path
csv = [f for f in Path(r'parent_dir').rglob('*C74*.csv')]
df = pd.concat([pd.read_csv(f) for f in csv])
if you want to subset your list again you could do
subset_list = [x for x in csv if 'abc' in x.stem]
[x for x in csv if 'abc' in x.stem]
out : ['C74_abc.csv', 'abc_C74.csv']
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