statsmodels.graphics.plot_grids.scatter_ellipse

statsmodels.graphics.plot_grids.scatter_ellipse(data, level=0.9, varnames=None, ell_kwds=None, plot_kwds=None, add_titles=False, keep_ticks=False, fig=None)[source]

Create a grid of scatter plots with confidence ellipses.

ell_kwds, plot_kdes not used yet

looks ok with 5 or 6 variables, too crowded with 8, too empty with 1

Parameters:
  • data (array_like) – Input data.
  • level (scalar, optional) – Default is 0.9.
  • varnames (list of str, optional) – Variable names. Used for y-axis labels, and if add_titles is True also for titles. If not given, integers 1..data.shape[1] are used.
  • ell_kwds (dict, optional) – UNUSED
  • plot_kwds (dict, optional) – UNUSED
  • add_titles (bool, optional) – Whether or not to add titles to each subplot. Default is False. Titles are constructed from varnames.
  • keep_ticks (bool, optional) – If False (default), remove all axis ticks.
  • fig (Matplotlib figure instance, optional) – If given, this figure is simply returned. Otherwise a new figure is created.
Returns:

fig – If fig is None, the created figure. Otherwise fig itself.
Return type:

Matplotlib figure instance