Weather Data Fetcher

This project fetches weather data for a list of cities using the OpenWeatherMap API. It retrieves both current city data and forecast data.

Features

• Fetches current weather data for a list of cities.
• Fetches forecast data for each city.
• Displays the collected data in a readable format.
• Exports data in CSV, XML, HTML, and JSON formats.

Requirements

• Python 3.x
• requests library
• pandas library
• tqdm library

Installation

1. Clone the repository:

   git clone https://github.com/y0geshx/weather-data-fetcher.git
   cd weather-data-fetcher

2. To activate a Python virtual environment in your project, follow these steps:

3. Create a virtual environment (if you haven't already):

   python -m venv venv

4. Activate the virtual environment:

   source venv/bin/activate

   After activating the virtual environment, you can install the required dependencies and run your scripts within this isolated environment.

5. Install the required libraries:

   pip install requests pandas tqdm

6. Or use:

   pip install -r requirements.txt

Usage

1. Set your OpenWeatherMap API key in the weather.py script:

   API_KEY = 'your_api_key_here'

2. Prepare a CSV file with a list of cities. The CSV should have a column named City.

3. Run the script:

   python weather.py

4. The script will fetch and display the weather data for the listed cities.

5. Export the data in the desired format:

   # Example for exporting data
   data.to_csv('weather_data.csv')
   data.to_json('weather_data.json')
   data.to_html('weather_data.html')
   data.to_xml('weather_data.xml')

Example

Here is an example of how to use the script:

1. Create a CSV file named in_cities.csv with the following content:

   City
   London
   Paris
   New York
   

2. Run the script:

   python weather.py

3. The script will fetch and display the weather data for the listed cities.

4. Export the data in the desired format:

   data.to_csv('weather_data.csv')
   data.to_json('weather_data.json')
   data.to_html('weather_data.html')
   data.to_xml('weather_data.xml')

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any changes.

License

This project is licensed under the MIT License. See the LICENSE file for details.