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
- dataarray_like
Input data.
- levelscalar,
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_titlesbool,
optional
Whether or not to add titles to each subplot. Default is False. Titles are constructed from varnames.
- keep_ticksbool,
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
Matplotlib
figure
instance
If fig is None, the created figure. Otherwise fig itself.
- fig
Examples
>>> import statsmodels.api as sm >>> import matplotlib.pyplot as plt >>> import numpy as np
>>> from statsmodels.graphics.plot_grids import scatter_ellipse >>> data = sm.datasets.statecrime.load_pandas().data >>> fig = plt.figure(figsize=(8,8)) >>> scatter_ellipse(data, varnames=data.columns, fig=fig) >>> plt.show()
..plot :: plots/graphics_correlation_plot_corr_grid.py