This software extracts and analyzes specific climate information for any department or region in Peru using web scraping. It utilizes the BeautifulSoup library, along with other tools, to collect meteorological data from the National Meteorology and Hydrology Service of Peru (SENAMHI).
- Real-Time Data Extraction: Users can input a location of interest and obtain the corresponding climate data.
- Data Storage: The software saves collected data over time for future visualizations and analysis.
- Automated Data Update: It ensures that stored data remains up-to-date while avoiding duplicates.
- Graphical Representation: Includes visualizations for better interpretation of climate trends.
get_information(website): Makes an HTTP request to the specified website and retrieves the response.main(): Performs web scraping to obtain climate data and stores it in a CSV file. It also prompts the user to enter a location for analysis.update_data(d, file): Updates the CSV file, ensuring that the data remains accurate, up-to-date, and free of duplicates.line_plot_graph(df, location): Generates a line plot to visualize temperature trends over time.scatter_plot_graph(df, location): Creates a scatter plot representing temperature variations over time for a given location.