Python: Python dictionary to a csv file and display the content

Python CSV File Reading and Writing: Exercise-11 with Solution

Write a Python program to write a Python dictionary to a csv file. After writing the CSV file read the CSV file and display the content.

Sample Solution:

Python Code :

import csv
csv_columns = ['id','Column1', 'Column2', 'Column3', 'Column4', 'Column5']
dict_data = {'id':['1', '2', '3'],
    'Column1':[33, 25, 56],
    'Column2':[35, 30, 30],
    'Column3':[21, 40, 55],
    'Column4':[71, 25, 55],
    'Column5':[10, 10, 40], }
csv_file = "temp.csv"
try:
   with open(csv_file, 'w') as csvfile:
       writer = csv.DictWriter(csvfile, fieldnames=csv_columns)
       writer.writeheader()
       for data in dict_data:
           writer.writerow(dict_data)
except IOError:
   print("I/O error")
data = csv.DictReader(open(csv_file))
print("CSV file as a dictionary:\n")
for row in data:
   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:

CSV file as a dictionary:

OrderedDict([('id', "['1', '2', '3']"), ('Column1', '[33, 25, 56]'), ('Column2', '[35, 30, 30]'), ('Column3', '[21, 40, 55]'), ('Column4', '[71, 25, 55]'), ('Column5', '[10, 10, 40]')])
OrderedDict([('id', "['1', '2', '3']"), ('Column1', '[33, 25, 56]'), ('Column2', '[35, 30, 30]'), ('Column3', '[21, 40, 55]'), ('Column4', '[71, 25, 55]'), ('Column5', '[10, 10, 40]')])
OrderedDict([('id', "['1', '2', '3']"), ('Column1', '[33, 25, 56]'), ('Column2', '[35, 30, 30]'), ('Column3', '[21, 40, 55]'), ('Column4', '[71, 25, 55]'), ('Column5', '[10, 10, 40]')])
OrderedDict([('id', "['1', '2', '3']"), ('Column1', '[33, 25, 56]'), ('Column2', '[35, 30, 30]'), ('Column3', '[21, 40, 55]'), ('Column4', '[71, 25, 55]'), ('Column5', '[10, 10, 40]')])
OrderedDict([('id', "['1', '2', '3']"), ('Column1', '[33, 25, 56]'), ('Column2', '[35, 30, 30]'), ('Column3', '[21, 40, 55]'), ('Column4', '[71, 25, 55]'), ('Column5', '[10, 10, 40]')])
OrderedDict([('id', "['1', '2', '3']"), ('Column1', '[33, 25, 56]'), ('Column2', '[35, 30, 30]'), ('Column3', '[21, 40, 55]'), ('Column4', '[71, 25, 55]'), ('Column5', '[10, 10, 40]')])

Python Code Editor:

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