Python: Reads a CSV file and remove initial spaces, quotes around each entry and the delimiter

Last update on March 31 2025 12:51:18 (UTC/GMT +8 hours)

6. CSV Clean Entries

Write a Python program that reads a CSV file and remove initial spaces, quotes around each entry and the delimiter.

Sample Solution:

Python Code :

import csv
csv.register_dialect('csv_dialect',
                    delimiter='|',
                    skipinitialspace=True,
                    quoting=csv.QUOTE_ALL)
with open('temp.csv', 'r') as csvfile:
   reader = csv.reader(csvfile, dialect='csv_dialect')
   for row in reader:
       print(row)

temp.csv

"country_id"|"country_name"|"region_id"
"AR"|"Argentina"| 2
"AU"|"Australia"| 3
"BE"|"Belgium"| 1
"BR"|"Brazil"| 2
"CA"|"Canada"| 2

Sample Output:

['country_id', 'country_name', 'region_id']
['AR', 'Argentina', '2']
['AU', 'Australia', '3']
['BE', 'Belgium', '1']
['BR', 'Brazil', '2']
['CA', 'Canada', '2']

For more Practice: Solve these Related Problems:

• Write a Python program to read a CSV file and remove initial spaces, surrounding quotes from each field, and the delimiter artifacts, then print the cleaned rows.
• Write a Python script to process a CSV file by stripping unwanted quotes and spaces from each entry and then save the cleaned data to a new CSV file.
• Write a Python program to import a CSV file, clean each entry by removing extra spaces and quotes, and then output the cleaned data as a list of lists.
• Write a Python script to read a CSV file with irregular formatting, remove initial spaces and extraneous quotes, and then join the fields into a single formatted string per row.

Python Code Editor:

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