statsmodels.distributions.copula.api.FrankCopula.plot_scatter¶
-
FrankCopula.plot_scatter(sample=
None
, nobs=500
, random_state=None
, ax=None
)¶ Sample the copula and plot.
- Parameters:¶
- samplearray_like,
optional
The sample to plot. If not provided (the default), a sample is generated.
- nobs
int
,optional
Number of samples to generate from the copula.
- random_state{
None
,int
,numpy.random.Generator
},optional
If seed is None then the legacy singleton NumPy generator. This will change after 0.13 to use a fresh NumPy
Generator
, so you should explicitly pass a seededGenerator
if you need reproducible results. If seed is an int, a newGenerator
instance is used, seeded with seed. If seed is already aGenerator
instance then that instance is used.- ax
AxesSubplot
,optional
If given, this subplot is used to plot in instead of a new figure being created.
- samplearray_like,
- Returns:¶
- fig
Figure
If ax is None, the created figure. Otherwise the figure to which ax is connected.
- samplearray_like (
n
,d
) Sample from the copula.
- fig
Last update:
Oct 03, 2024