Cartopy VS Matplotlib

Cartopy

Cartopy - A cartographic Python library with matplotlib support.

There is not really much to it, really. Everything is done in python, with use of standard libraries, of which probably most important in this case is cartopy https://scitools.org.uk/cartopy/docs/latest/ This is the latest cartopy tutorial I was able to find: https://www.youtube.com/watch?v=ivmd3RluMiw

Cartopy is a great lib that has a ton of utilities for those purposes. It is a little bit tricky to use at first but you can get really nice visualizations. I recommend installing it using with a conda env because its dependencies with other libraries.

- Cartopy: https://github.com/SciTools/cartopy

Made with: Cartopy, imageio and good 'ol Matplotlib (all Python libraries)

 ## Scatter Graph * It similar to a line graph * Used to show how one variable is related to another * It consists of data points, if it is linear then it is highly correlated * It only marks the data point. * Syntax: plt.scatter(x,y) ### Parameter of Scatter Graph * c: Sets color of markers. * s: Sets the size of markers. * marker: Select a marker. e.g.: circle, triangle, etc * edgecolor: Sets the color of lines on the edges of markers. ```python x=[1,4,6,8,2] y=[10,10,1,5,0] fig = plt.figure(figsize=(8,4)) ax = fig.add_subplot() ax.scatter(x , y , c='red' , s=500 , marker='*' , edgecolor='blue' , label='scatter') ax.set_title('Scatter') ax.set_xlabel('X-Axis') ax.set_ylabel('Y-Axis') plt.legend()