Higher-level plotting methods for Figure.plot and Figure.plot3d

[seisman]

Figure.plot and Figure.plot3d are probably the most frequently-used plotting methods. They're powerful and also complicated.

It would be better if we could provide some higher-level wrappers on top of Figure.plot/Figure.plot3d. Some possible plotting methods include (Feel free to edit the top post to add more ideas!)

• Figure.scatter: plot scatter points
  • matplotlib.pyplot.scatter
• Figure.scatter3d: plot scatter points in 3D
  • https://matplotlib.org/stable/gallery/mplot3d/scatter3d.html)
• Figure.hlines/Figure.vlines: plot horizontal/vertical lines
  • matplotlib.pyplot.hlines,
  • matplotlib.pyplot.vlines,
  • Add Figure.hlines for plotting horizontal lines #923)
• Figure.choropleth: plot Choropleth maps
  • Add gallery example showing usage of polygon objects from a geopandas.GeoDataFrame (choropleth map) #2796
  • https://plotly.com/python/choropleth-maps/)
• Figure.errorbar: plot errorbars of data points
  • Add a standalone "pygmt.Figure.errorbar" method #2513
  • WIP: Add tutorial showing the "error_bar" parameter of "pygmt.Figure.plot" #2429
• Figure.stem:
  • WIP: Add gallery example showing how to create a stem plot #3052
• Figure.fill_between (or something similar):
  • WIP: Figure.plot: Add alias "fillcurves" for "M" #3169
  • WIP: Add gallery example showing how to fill the area between two curves #3168
• Figure.pie (or something similar): making pie/doughnut charts based on data shown in map
  • Circular colorbar for azimuthal data #3638
• Figure.colorbar_circular (or something similar): allow to plot circular colorbars
  • Circular colorbar for azimuthal data #3638
• And more

[yvonnefroehlich]

Related to this:

• Figure.errorbar: plot errorbars of datapoints
  • Add a standalone "pygmt.Figure.errorbar" method #2513
  • WIP: Add tutorial showing the "error_bar" parameter of "pygmt.Figure.plot" #2429