What's the Weather Like?
In this example, created a Python script to visualize the weather of 500+ cities across the world of varying distance from the equator. To accomplish this, utilized a simple Python library, the OpenWeatherMap API, and a representative model of weather across world cities.
Objective is to 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
Notebook contains:
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Randomly select at least 500 unique (non-repeat) cities based on latitude and longitude.
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Perform a weather check on each of the cities using a series of successive API calls.
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Include a print log of each city as it's being processed with the city number, city name, and requested URL.
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Save both a CSV of all data retrieved and png images for each scatter plot.
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Used the Matplotlib and Seaborn libraries.
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Used a written description of three observable trends based on the data.
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Used proper labeling of your plots, including aspects like: Plot Titles (with date of analysis) and Axes Labels.
Output:
