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Sep 6, 2023#python学习272

AI Translation

This post is translated from Chinese into English through AI.View Original

AI-generated summary

Today is a coding practice where information is obtained from a weather API and printed. The weather code is not clear, so the coding requirement was modified. The program uses the chatgpt to find the most frequently occurring number. The main.py file imports necessary libraries and makes a request to the weather API. The JSON response is converted to a dictionary and the Counter function is used to count the occurrences of each weather code. The most common weather code, maximum temperature, and minimum temperature are then printed.

Record#

Today is coding practice, obtaining information from a weather API and printing it.
Not quite clear about the specific meaning of weathercode, so I made a slight modification to the coding requirements.
ChatGPT taught me how to find the most frequently occurring number.

CODE#

main.py#

import requests, json
from collections import Counter

timezone = "GMT"
latitude = 51.5002
longitude = -0.1262

result = requests.get(
  f"https://api.open-meteo.com/v1/forecast?latitude={latitude}&longitude={longitude}&daily=weathercode,temperature_2m_max,temperature_2m_min&timezone={timezone.upper()}"
)

user = result.json()
#print(json.dumps(user, indent=2))
#print("++++")
number_count = Counter(user['daily']['weathercode'])
most_common_number, count = number_count.most_common(1)[0]
print(
  f"The weather conditions are mostly {most_common_number}\nHighest temperature: {max(user['daily']['temperature_2m_max'])}-----Lowest temperature: {min(user['daily']['temperature_2m_min'])}"
)