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:

  • xlim (tuple (default=None)) – The limits for the x axis. Automatically set if None.

  • ylim (tuple (default=None)) – The limits for the y axis. Automatically set if None.

  • grid_size (int (default=200)) – The number of grid points to use for continuous data.

  • show_zero_mass (bool (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.

Usage

import pyvinecopulib as pv
import numpy as np
import matplotlib.pyplot as plt

# Continuous data
np.random.seed(123)
x = np.random.beta(0.5, 2.0, 100)
kde = pv.Kde1d()
kde.fit(x)

plt.figure(figsize=(10, 6))
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()