docstr: Return a summary of the eigenvalues and their importance.
docstr_tok: ["Return","a","summary","of","the","eigenvalues","and","their","importance","."]
code: def _eigenvalues_summary(self):
      """Return a summary of the eigenvalues and their importance."""
      return pd.DataFrame(
          {
              "eigenvalue": self.eigenvalues_,
              r"% of variance": self.percentage_of_variance_,
              r"% of variance (cumulative)": self.cumulative_percentage_of_variance_,
          },
          index=pd.RangeIndex(
              0, len(self.eigenvalues_), name="component"
          ),
      )
  
file_path: prince/prince/utils.py
imports: from __future__ import annotations
  import functools
  import altair
  import numpy
  import pandas
  from sklearn.utils import validation
label_desc: Use image node_id 3 for calling the EigenvaluesMixin obj's underlying member method code with example usage: obj._eigenvalues_summary() and returns: pd