class_docstr: Class for the manifold of Poisson distributions.
  
  This is the parameter space of Poisson distributions
  i.e. [the half-line of positive reals].
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docstr: Sample from the Poisson distribution.
  
  Sample from the Poisson distribution with parameter provided
  by point.
  
  Parameters
  ----------
  point : array-like, shape=[..., 1]
      Point representing an Poisson distribution.
  n_samples : int
      Number of points to sample with each parameter in point.
      Optional, default: 1.
  
  Returns
  -------
  samples : array-like, shape=[..., n_samples]
      Sample from Poisson distributions.
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code: def sample(self, point, n_samples=1):
      """Sample from the Poisson distribution.
  
      Sample from the Poisson distribution with parameter provided
      by point.
  
      Parameters
      ----------
      point : array-like, shape=[..., 1]
          Point representing an Poisson distribution.
      n_samples : int
          Number of points to sample with each parameter in point.
          Optional, default: 1.
  
      Returns
      -------
      samples : array-like, shape=[..., n_samples]
          Sample from Poisson distributions.
      """
      return self._scp_rv.rvs(point, n_samples)
  
imports: from scipy.special import factorial
  from scipy.stats import poisson
  import geomstats.backend
  from geomstats.geometry.base import VectorSpaceOpenSet
  from geomstats.geometry.euclidean import Euclidean
  from geomstats.geometry.riemannian_metric import RiemannianMetric
  from geomstats.information_geometry.base import InformationManifoldMixin, ScipyUnivariateRandomVariable
label_desc: Use image node_id 6 for calling the PoissonDistributions obj's underlying member method code with example usage: obj.sample(point, n_samples) and returns: self