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Python: Read specific columns of a given CSV file and print the content of the columns

Python CSV File Reading and Writing: Exercise-7 with Solution

Write a Python program to read specific columns of a given CSV file and print the content of the columns.

Sample Solution:

Python Code :

import csv
with open('departments.csv', newline='') as csvfile:
 data = csv.DictReader(csvfile)
 print("ID Department Name")
 print("---------------------------------")
 for row in data:
   print(row['department_id'], row['department_name'])

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:

ID Department Name
---------------------------------
10 Administration
20 Marketing
30 Purchasing
40 Human Resources
50 Shipping
60 IT
70 Public Relations
80 Sales
90 Executive
100 Finance
110 Accounting
120 Treasury
130 Corporate Tax
140 Control And Credit
150 Shareholder Services
160 Benefits
170 Manufacturing
180 Construction
190 Contracting
200 Operations
210 IT Support
220 NOC
230 IT Helpdesk
240 Government Sales
250 Retail Sales
260 Recruiting
270 Payroll

Python Code Editor:


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Previous: Write a Python program that reads a CSV file and remove initial spaces, quotes around each entry and the delimiter.
Next: Write a Python program that reads each row of a given csv file and skip the header of the file. Also print the number of rows and the field names.

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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}