I was tasked with creating a Python script to visualize the weather of 500+ cities across the world of varying distance from the equator. To accomplish this, I had to utilizing a simple Python library cities , the OpenWeatherMap API, and Plotly.
Temperature (F) vs. Latitude
Humidity (%) vs. Latitude
Cloudiness (%) vs. Latitude
Wind Speed (mph) vs. Latitude
I had to complete the analysis using a Jupyter notebook, Matplotlib, pandas and Plotly.
using plotlys .. plotly.offline.plot(fig, filename='name.html').. will expot the graph along in to a HTML file that can be viewed offline .. I on my webpage used
<iframe src="../Graphs/Humidity.html" id="graph" name="targetframe" allowTransparency="true" scrolling="no" frameborder="2" height="650" width="650"> </iframe>this alowed me to stay with in python export to html and then enbend my graph in to my webpage wile useing very little time in HTML/CSS or any javascrip click link to see page https://jurioste4.github.io/weather/pages/humidity.html
I then written description of three observable trends based on the data and proper labeling of your plots,