Weather API Data Analyzer

Question

Objective
In this programming assignment, you will create a Python script that retrieves weather data from the OpenWeatherMap API and analyzes it. Your script should be able to fetch weather data for a given location, process the data, and output basic statistics about the temperature, humidity, and pressure for a specified period.
Instructions

 	Visit the OpenWeatherMap API documentation (https://openweathermap.org/api) to learn how to access historical weather data. Sign up for a free API key if required.
 	Write a function called fetch_weather_data(location, start_date, end_date, api_key) that takes four arguments: location (a string representing the location for which you want to fetch weather data), start_date and end_date (strings representing the date range for the data in the format 'YYYY-MM-DD'), and api_key (a string representing your API key). The function should fetch weather data for the specified location and date range and return the data as a list of dictionaries or a similar data structure.
 	Write another function called calculate_statistics(weather_data) that takes a single argument, weather_data, which is a list of dictionaries containing the weather data to be processed. The function should return a dictionary containing the average temperature, humidity, and pressure for the specified period. For example, the output could look like: {"avg_temperature": 20.5, "avg_humidity": 60.0, "avg_pressure": 1010.0}.
 	To accomplish this, you may use loops or list comprehensions to iterate through the weather data and calculate the averages. Ensure that your function can handle data with missing or non-numerical values by skipping them during the calculation.
 	Write a function called print_statistics(statistics) that takes a single argument, statistics, which is a dictionary containing the calculated statistics. The function should print the statistics in a user-friendly format, displaying the average temperature, humidity, and pressure for the specified period.

Deliverables

 	A Python script containing the fetch_weather_data(location, start_date, end_date, api_key), calculate_statistics(weather_data), and print_statistics(statistics) functions.
 	A brief report (1-2 paragraphs) describing your approach, the OpenWeatherMap API, any challenges you encountered, and possible improvements or alternative methods for retrieving and analyzing weather data.

Accepted Answer

import requests
import json
from datetime import datetime, timedelta
import time

def fetch_weather_data(location, start_date, end_date, api_key):
    weather_data = []
    current_date = start_date
    
    start_date = datetime.strptime("2023-01-01", "%Y-%m-%d").date()
    end_date = datetime.strptime("2023-01-07", "%Y-%m-%d").date()
    # Fetch data day by day
    while current_date

Title	Category	Subcategory	Difficulty	Status
Circular Queue Implementation	Programming	Other	Hard	Unlock
Last Node of Singly Linked List	Programming	Other	Medium	Unlock
Priority Queue Using Heaps	Programming	Other	Hard	Example

The Interview Guide for Quants and Traders

Weather API Data Analyzer

What do you think of this page?