To parse a YAML file in Python, you will need to make use of the PyYAML library.
You can get this using the pip3
pip3 install pyyaml
YAML file: countries.yaml
- country:
name: "USA"
capital: "Washington, D.C."
cities:
- name: "New York City"
population: 8537673
tourist_spots:
- "Statue of Liberty"
- "Times Square"
- "Central Park"
- name: "Los Angeles"
population: 3979576
tourist_spots:
- "Hollywood Walk of Fame"
- "Universal Studios"
- "Santa Monica Pier"
- country:
name: "France"
capital: "Paris"
cities:
- name: "Paris"
population: 2140526
tourist_spots:
- "Eiffel Tower"
- "Louvre Museum"
- "Notre-Dame Cathedral"
- name: "Nice"
population: 342637
tourist_spots:
- "Promenade des Anglais"
- "Old Town (Vieux Nice)"
- "Castle Hill (Colline du ChΓ’teau)"
Python Code to PArse YAML file
'''
Parsing YAML file in Python
Author : Code2care.org
Version : v 1.0
Date : 3 July 2023
'''
import yaml
def parse_yaml_file(yaml_file):
with open(yaml_file, 'r') as file:
data = yaml.safe_load(file)
return data
yaml_file = 'countries.yaml'
parsed_data = parse_yaml_file(yaml_file)
for country in parsed_data:
print("Country:", country['country']['name'])
print("Capital:", country['country']['capital'])
print("Cities:")
for city in country['country']['cities']:
print(" > Name:", city['name'])
print(" Population:", city['population'])
print(" Tourist Spots:", city['tourist_spots'])
print("")
Output:
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Author Info:
Rakesh (He/Him) has over 14+ years of experience in Web and Application development. He is the author of insightful How-To articles for Code2care.
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