Python: Read a given CSV file as a dictionary
4. CSV to Dictionary
Write a Python program to read a given CSV file as a dictionary.
Sample Solution:
Python Code :
import csv
data = csv.DictReader(open("departments.csv"))
print("CSV file as a dictionary:\n")
for row in data:
print(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
Sample Output:
CSV file as a dictionary: OrderedDict([('department_id', '10'), (' department_name', ' Administration'), (' manager_id', ' 200'), (' location_id', ' 1700')]) OrderedDict([('department_id', '20'), (' department_name', ' Marketing'), (' manager_id', ' 201'), (' location_id', ' 1800')]) OrderedDict([('department_id', '30'), (' department_name', ' Purchasing'), (' manager_id', ' 114'), (' location_id', ' 1700')]) OrderedDict([('department_id', '40'), (' department_name', ' Human Resources'), (' manager_id', ' 203'), (' location_id', ' 2400')]) OrderedDict([('department_id', '50'), (' department_name', ' Shipping'), (' manager_id', ' 121'), (' location_id', ' 1500')]) OrderedDict([('department_id', '60'), (' department_name', ' IT'), (' manager_id', ' 103'), (' location_id', ' 1400')]) OrderedDict([('department_id', '70'), (' department_name', ' Public Relations'), (' manager_id', ' 204'), (' location_id', ' 2700')]) OrderedDict([('department_id', '80'), (' department_name', ' Sales'), (' manager_id', ' 145'), (' location_id', ' 2500')])
For more Practice: Solve these Related Problems:
- Write a Python program to read a CSV file into a list of dictionaries, using the header row as keys, and then print the dictionary for each row.
- Write a Python script to convert a CSV file into a dictionary where each key is a unique value from the first column and the value is the entire row as a dictionary.
- Write a Python program to read a CSV file into dictionaries and then filter the dictionaries to only include rows with a specific key value.
- Write a Python program to load a CSV file as a list of dictionaries and then update a specific field in each dictionary before printing the updated list.
Python Code Editor:
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