sc_plotting#

Extensions to Matplotlib, including 3D plotting and plot customization.

Highlights:

sc.plot3d(): easy way to render 3D plots
sc.boxoff(): turn off top and right parts of the axes box
sc.commaticks(): convert labels from “10000” and “1e6” to “10,000” and “1,000,0000”
sc.SIticks(): convert labels from “10000” and “1e6” to “10k” and “1m”
sc.maximize(): make the figure fill the whole screen
sc.savemovie(): save a sequence of figures as an MP4 or other movie
sc.fonts(): list available fonts or add new ones

Classes

`ScirisDateFormatter`	An adaptation of Matplotlib's ConciseDateFormatter with a slightly different approach to formatting dates.
`animation`	A class for storing and saving a Matplotlib animation.

Functions

`fig3d`	Shortcut for creating a figure with 3D axes.
`ax3d`	Create a 3D axis to plot in.
`plot3d`	Plot 3D data as a line
`scatter3d`	Plot 3D data as a scatter
`surf3d`	Plot 2D or 3D data as a 3D surface
`bar3d`	Plot 2D data as 3D bars
`stackedbar`	Create a stacked bar chart.
`boxoff`	Removes the top and right borders ("spines") of a plot.
`setaxislim`	A small script to determine how the y limits should be set. Looks at all data (a list of arrays) and computes the lower limit to use, e.g.::.
`setxlim`	Alias for `sc.setaxislim(which='x')`
`setylim`	Alias for `sc.setaxislim(which='y')`.
`commaticks`	Use commas in formatting the y axis of a figure (e.g., 34,000 instead of 34000).
`SIticks`	Apply SI tick formatting to one axis of a figure (e.g., 34k instead of 34000)
`getrowscols`	Get the number of rows and columns needed to plot N figures.
`get_rows_cols`	Get the number of rows and columns needed to plot N figures.
`figlayout`	Alias to both `fig.set_layout_engine()` and `fig.subplots_adjust()`.
`maximize`	Maximize the current (or supplied) figure.
`fonts`	List available fonts, or add new ones.
`dateformatter`	Format the x-axis to use a given date formatter.
`datenumformatter`	Format a numeric x-axis to use dates.
`savefig`	Save a figure, including metadata
`savefigs`	Save the requested plots to disk.
`loadfig`	Load a plot from a file and reanimate it.
`emptyfig`	The emptiest figure possible
`separatelegend`	Allows the legend of a figure to be rendered in a separate window instead
`orderlegend`	Create a legend with a specified order, or change the order of an existing legend.
`savemovie`	Save a set of Matplotlib artists as a movie.