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Python: Read each row from a given csv file and print a list of strings

Python CSV File Reading and Writing: Exercise-1 with Solution

Write a Python program to read each row from a given csv file and print a list of strings.

Note:
delimiter: A one-character string used to separate fields. It defaults to ','.
quotechar: The quotechar optional parameter tells the writer which character to use to quote fields when writing.

Sample Solution:

Python Code :

import csv
with open('departments.csv', newline='') as csvfile:
 data = csv.reader(csvfile, delimiter=' ', quotechar='|')
 for row in data:
   print(', '.join(row))

departments.csv

department_id,department_name,manager_id,location_id
10,Administration,200,1700
20,Marketing,201,1800
30,Purchasing,114,1700
40,Human Resources,203,2400
50,Shipping,121,1500
60,IT,103,1400
70,Public Relations,204,2700
80,Sales,145,2500
90,Executive,100,1700
100,Finance,108,1700
110,Accounting,205,1700
120,Treasury,,1700
130,Corporate Tax,,1700
140,Control And Credit,,1700
150,Shareholder Services,,1700
160,Benefits,,1700
170,Manufacturing,,1700
180,Construction,,1700
190,Contracting,,1700
200,Operations,,1700
210,IT Support,,1700
220,NOC,,1700
230,IT Helpdesk,,1700
240,Government Sales,,1700
250,Retail Sales,,1700
260,Recruiting,,1700
270,Payroll,,1700

Sample Output:

department_id,department_name,manager_id,location_id
10,Administration,200,1700
20,Marketing,201,1800
30,Purchasing,114,1700
40,Human, Resources,203,2400
50,Shipping,121,1500
60,IT,103,1400
70,Public, Relations,204,2700
80,Sales,145,2500
90,Executive,100,1700
100,Finance,108,1700
110,Accounting,205,1700
120,Treasury,,1700
130,Corporate, Tax,,1700
140,Control, And, Credit,,1700
150,Shareholder, Services,,1700
160,Benefits,,1700
170,Manufacturing,,1700
180,Construction,,1700
190,Contracting,,1700
200,Operations,,1700
210,IT, Support,,1700
220,NOC,,1700
230,IT, Helpdesk,,1700
240,Government, Sales,,1700
250,Retail, Sales,,1700
260,Recruiting,,1700
270,Payroll,,1700

Python Code Editor:


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Python: Tips of the Day

Creates a dictionary with the same keys as the provided dictionary and values generated by running the provided function for each value:

Example:

def tips_map_values(obj, fn):
  ret = {}
  for key in obj.keys():
    ret[key] = fn(obj[key])
  return ret
users = {
  'Owen': { 'user': 'Owen', 'age': 29 },
  'Eddie': { 'user': 'Eddie', 'age': 15 }
}

print(tips_map_values(users, lambda u : u['age'])) # {'Owen': 29, 'Eddie': 15}

Output:

{'Owen': 29, 'Eddie': 15}