COMPANY: CODTECH IT SOLUTIONS
NAME: SIDDHI TANAJI SATAV
INTERN ID: CTIS0158
DOMAIN: Python Programming
DURATION: 4 WEEEKS
MENTOR: NEELA SANTOSH
Internship Project Submission
Project Description CODTECH Internship – Task 1 Title: Weather Data Visualization Dashboard using Python
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Objective Use Python to fetch real‑time weather data from a public API (OpenWeatherMap) and create visualizations using Matplotlib/Seaborn. The final output is a script plus a visualization dashboard image.
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Tech Stack Language: Python 3 Libraries: requests – fetch data from OpenWeatherMap API pandas – tabular data handling matplotlib – plotting and layout seaborn – styled statistical visualizations Install dependencies: bash pip install requests pandas matplotlib seaborn
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OpenWeatherMap Setup Create a free account on OpenWeatherMap. Generate an API key from the API keys section. In weather_dashboard.py, set: python API_KEY = "YOUR_API_KEY_HERE" The script uses the Current Weather Data endpoint with metric units.
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Script Overview (weather_dashboard.py) Main steps: Configuration List of cities (e.g., Delhi, Mumbai, Bangalore, Chennai, Kolkata, Solapur, Pune). Base URL: http://api.openweathermap.org/data/2.5/weather. Data Fetching For each city, send a GET request with q, appid, and units=metric. Extract: temperature, humidity, pressure, wind speed, and description. Store results in a pandas.DataFrame. Dashboard Visualizations The script builds a 2×2 Matplotlib figure with Seaborn plots: Scatter plot: Temperature vs Humidity, bubble size = wind speed, colored by city. Bar plot: Temperature comparison across cities. Box plot: Wind speed distribution by city. Heatmap: Correlation between Temperature, Humidity, Pressure, and Wind_Speed. Output Shows the dashboard window. Saves a high‑resolution image: python plt.savefig("weather_dashboard.png", dpi=300, bbox_inches="tight")
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How to Run From the folder containing weather_dashboard.py: bash python weather_dashboard.py You should see: Console logs: Fetched data for Delhi, Fetched data for Mumbai, etc. Printed DataFrame with current weather for all cities. A 4‑panel dashboard window and a saved file weather_dashboard.png
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