Create a Python script to visualize the weather of 500+ cities across the world of varying distance from the equator. To accomplish this, utilize a Python library, the OpenWeatherMap API, and a little common sense to create a representative model of weather across world cities.
- Temperature (F) vs. Latitude
- Humidity (%) vs. Latitude
- Cloudiness (%) vs. Latitude
- Wind Speed (mph) vs. Latitude
- Randomly selects at least 500 unique (non-repeat) cities based on latitude and longitude.
- Performs a weather check on each of the cities using a series of successive API calls.
- Includes a print log of each city as it's being processed with the city number and city name.
- Saves both a CSV of all data retrieved and png images for each scatter plot.
*The main file's name is ValmontHW6_WeaterPy.ipynb *The generated .csv file is named randomcityweather
- There are 4 png files that were created from the main file
- The only word document describes what observations were made
- The api key file of the project owner was taken out for security reasons