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Python: Read a CSV files with initial spaces after a delimiter and remove those initial spaces

Python CSV File Reading and Writing: Exercise-5 with Solution

Write a Python program to read a given CSV files with initial spaces after a delimiter and remove those initial spaces.

Sample Solution:

Python Code :

import csv
print("\nWith initial spaces after a delimiter:\n")
with open('departments.csv', 'r') as csvfile:
   data = csv.reader(csvfile, skipinitialspace=False)
   for row in data:
     print(', '.join(row))
print("\n\nWithout initial spaces after a delimiter:\n")
with open('departments.csv', 'r') as csvfile:
   data = csv.reader(csvfile, skipinitialspace=True)
   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:

With initial spaces after a delimiter:

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


Without initial spaces after a delimiter:

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

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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}