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Open weather map import requests import matplotlib.pyplot as plt from datetime import datetime API_KEY = "YOUR_API_KEY" # Replace with your key CITY = "London" # Fetch weather data url = f"http://api.openweathermap.org/data/2.5/forecast?q={CITY}&appid={API_KEY}&units=metric" data = requests.get(url).json() # Parse needed info dates = [datetime.fromtimestamp(x["dt"]) for x in data["list"]] temps = [x["main"]["temp"] for x in data["list"]] humidity = [x["main"]["humidity"] for x in data["list"]] # Plot plt.figure(figsize=(10, 5)) plt.plot(dates, temps, label="Temp (°C)", color="orange") plt.plot(dates, humidity, label="Humidity (%)", color="blue") plt.title(f"5-Day Forecast for {CITY}") plt.xlabel("Date & Time") plt.xticks(rotation=45) plt.legend() plt.tight_layout() plt.show()

#5

· lalithapulapa81 opened

on Sep 5, 2025

Data integration and visualization

#4

· hyndavialthi-jpg opened

on Sep 4, 2025

import requests import matplotlib.pyplot as plt from datetime import datetime API_KEY = "YOUR_API_KEY" # Replace with your key CITY = "London" # Fetch weather data url = f"http://api.openweathermap.org/data/2.5/forecast?q={CITY}&appid={API_KEY}&units=metric" data = requests.get(url).json() # Parse needed info dates = [datetime.fromtimestamp(x["dt"]) for x in data["list"]] temps = [x["main"]["temp"] for x in data["list"]] humidity = [x["main"]["humidity"] for x in data["list"]] # Plot plt.figure(figsize=(10, 5)) plt.plot(dates, temps, label="Temp (°C)", color="orange") plt.plot(dates, humidity, label="Humidity (%)", color="blue") plt.title(f"5-Day Forecast for {CITY}") plt.xlabel("Date & Time") plt.xticks(rotation=45) plt.legend() plt.tight_layout() plt.show()

#3

· hyndavialthi-jpg opened

on Sep 4, 2025

Open weather map

#2

· potnurubargavi-jpg opened

on Sep 4, 2025

Weather visualization

#1

· Sai-harshini123 opened

on Aug 16, 2025