API reference for: https://pypi.org/project/stats-tm/
See tutorial and all available classes here

class stats_tm.distribution.PoissonDist(lambda_: int)
Poisson distribution class for plotting probability distribution and calculating probability mass function/ cumulative probability

Parameters:
• lambda_ (int): rate of occurences

Attributes:
• lambda_ (int): rate of occurences

Methods:
• plot_dist():
  Plot the probability distribution for a poisson distribution
  Returns:
  plotly.graph_objects.Figure - Plot of the distribution


• calc_pmf(k: int, plot=True):
  Calculate the probability mass function for a poisson distribution and optionally plot the distribution
  Parameters:
  k (int): number of occurences
  plot (bool, optional): If True, return a plot of the distribution with probability mass funtion at k highlighted. Defaults to True.
  Returns:
  plotly.graph_objects.Figure or float - Plot of the distribution with probability mass function at k highlighted or probability mass function at k


• calc_cum_p(k: int, plot=True):
  Calculate the cumulative probability for a poisson distribution and optionally plot the distribution
  Parameters:
  k (int): number of occurences
  plot (bool, optional): If True, return a plot of the distribution with cumulative probability at k highlighted. Defaults to True.
  Returns:
  plotly.graph_objects.Figure or float - Plot of the distribution with cumulative probability at k highlighted or cumulative probability at k