Kde1d.plot

Kde1d.plot(self, xlim: object | None = None, ylim: object | None = None, grid_size: int = 200, show_zero_mass: bool = True) → None

Generates a plot for the Kde1d object.

This method creates a line plot for continuous data, a point plot for discrete data, and handles zero-inflated data with special point marking at zero.

Parameters:

xlimtuple (default=None)

The limits for the x axis. Automatically set if None.

ylimtuple (default=None)

The limits for the y axis. Automatically set if None.

grid_sizeint (default=200)

The number of grid points to use for continuous data.

show_zero_massbool (default=True)

Whether to show the point mass at zero for zero-inflated data.

**kwargs

Additional keyword arguments passed to matplotlib plotting functions.

Returns:

Nothing, the function generates a plot and shows it using matplotlib.

Examples

>>> import pyvinecopulib as pv
>>> import numpy as np
>>> # Continuous data
>>> np.random.seed(123)
>>> x = np.random.beta(0.5, 2.0, 100)
>>> kde = pv.Kde1d()
>>> kde.fit(x)
>>> kde.plot()
>>> # Discrete data
>>> x_discrete = np.random.poisson(3, 100)
>>> kde_discrete = pv.Kde1d(type="discrete")
>>> kde_discrete.fit(x_discrete)
>>> kde_discrete.plot()
>>> # Zero-inflated data
>>> x_zi = np.random.exponential(2, 100)
>>> x_zi[np.random.choice(100, 30, replace=False)] = 0
>>> kde_zi = pv.Kde1d(xmin=0, type="zero-inflated")
>>> kde_zi.fit(x_zi)
>>> kde_zi.plot()