如何将文件夹中存在的 .mp4 文件与 .csv 文件中的名称相匹配，并在 python 中根据某些列值进行排序？

Question

I have a folder containing about 500.mp4 files:

abc.mp4 
lmn.mp4 
ijk.mp4

Also I have a.csv file containing the file names (>500) and some values associated with them:

file name  value
abc.mp4  5
xyz.mp4  3
lmn.mp4  5
rgb.mp4  4

I want to match the file names of.csv and folder and then place the mp4 files in separate folders depending on the value.

**folder 5:** 
abc.mp4
lmn.mp4

**folder 3:**
xyz.mp4 
and so on

I tried link

names=[]
names1=[]

for dirname, dirnames, filenames in os.walk('./videos_test'):
  for filename in filenames:
    if filename.endswith('.mp4'):
       names.append(filename)


file = open('names.csv',encoding='utf-8-sig')
lns = csv.reader(file)
for line in lns:
  nam = line [0]
  sc=line[1]
  names1.append(nam)

  if nam in names:
      print (nam, line[1])
      if line[1]==5
        print ('5')
        print(nam) %just prints the name of file not save
      else if line[1]==3
        print ('3')
        print(nam)

does not give any result.

Answer 1

I'd recommend you to use pandas if you're going to handle csv files.

Here's a code that will automatically create the folders, and put the files in the right place for you using shutil and pandas . I have assumed that your csv's columns are "filename" and "value". Change them if there's a mismatch.

import pandas as pd 
import shutil 
import os

path_to_csv_file = "file.csv"

df = pd.read_csv(path_to_csv_file)

mp4_root = "mp4_root"

destination_path = "destination_path"

#In order to remove the folder if previously created. You can delete this if you don't like it.
if os.path.isdir(destination_path):
    shutil.rmtree(destination_path)
os.mkdir(destination_path)

unique_values = pd.unique(df['value'])

for u in unique_values:
    os.mkdir(os.path.join(destination_path, str(u)))

#Here we iterate over the rows of your csv file, and concatenate the value and the filename to the destination_path with our new folder structure.

for index, row in df.iterrows():
        cur_path = os.path.join(destination_path, str(row['value']), str(row['filename']))
        source_path = os.path.join(mp4_root, str(row['filename']))
        shutil.copyfile(source_path, cur_path)

EDIT : If there's a file that is in the csv but not present in the source folder, you could check it before (more pythonic) or you could handle it via a try/catch exception check.(Not recommended)

Check the code below.

source_files = os.listdir(mp4_root)
for index, row in df.iterrows():
        if str(row['filename']) not in source_files:
            continue
        cur_path = os.path.join(destination_path, str(row['value']), str(row['filename']))
        source_path = os.path.join(mp4_root, str(row['filename']))
        shutil.copyfile(source_path, cur_path)