Python script to visualize the weather of 500+ cities across the world of varying distance from the equator, utilizing a simple Python library, the OpenWeatherMap API, and create a representative model of weather across world cities.
Technologies Used: Python, Pandas, Matplotlib and API Calls
- Randomly select at least 500 unique (non-repeat) cities based on latitude and longitude.
- Perform a weather check on each of the cities using a series of successive API calls.
- Include a print log of each city as it's being processed with the city number and city name.
- Save both a CSV of all data retrieved and png images for each scatter plot.
- Build a series of scatter plots to showcase the following relationships:
- Temperature (F) vs. Latitude
- Humidity (%) vs. Latitude
- Cloudiness (%) vs. Latitude
- Wind Speed (mph) vs. Latitude