class_docstr: LogNormal Distribution on Euclidean Space.
docstr: Generate samples for Euclidean Manifold.
docstr_tok: ["Generate","samples","for","Euclidean","Manifold","."]
code: def sample(self, n_samples):
      """Generate samples for Euclidean Manifold."""
      _samples = gs.random.multivariate_normal(
          self.mean, self.cov, (n_samples,)
      )
      return gs.exp(_samples)
  
file_path: geomstats/geomstats/distributions/lognormal.py
imports: import geomstats.backend
  from geomstats.geometry.euclidean import Euclidean, EuclideanMetric
  from geomstats.geometry.hermitian_matrices import expmh, powermh
  from geomstats.geometry.matrices import Matrices, MatricesMetric
  from geomstats.geometry.spd_matrices import SPDAffineMetric, SPDLogEuclideanMetric, SPDMatrices, logmh
label_desc: Use image node_id 3 for calling the LogNormalEuclidean obj's underlying member method code with example usage: obj.sample(n_samples) and returns: gs