如何从 csv 文件中删除读取值中的双引号

Question

My csv file:

Mp4,Mp3,"1234554"

My code:

csv=csv=b''.join(csv).split(b'\n')
for index,row in enumerate(csv):
  row=re.split(b''',(?=(?:[^'"]|'[^']*'|"[^"]*")*$)''',row)
  for records in row:
      print(records)

when it printing the records,for the 3rd element it prints with ""i need to ignore this doubles quotes.

Answer 1

I think this should do it:

records = records.replace("\"","")

Edit

---

Using pandas.read_csv is better for working with csv files

import pandas as pd
csv = pd.read_csv('data.csv', delimiter=',', names=['x', 'y', 'z'])

# iterate over the dataframe
for index, row in csv.iterrows():
    print(row['x'], row['y'], row['z'])

Assuming content of data.csv looks like

Mp4,Mp3,"1234554"

The Output would look like this:

Mp4 Mp3 1234554

If your csv file includes column names eg

file_type1,file_type2,size
mp4,mp3,"1234554"

Just remove the names parameter if you read in the csv file:

csv = pd.read_csv('data.csv', delimiter=',')
print(csv)

Then the Output would look like this:

  file_type1 file_type2     size
0        mp4        mp3  1234554

Read more about pandas or pandas.read_csv

Answer 2

You could easlily replace it with

print(records.replace('"',''))