docstr: Returns the percentage of explained inertia per principal component.
docstr_tok: ["Returns","the","percentage","of","explained","inertia","per","principal","component","."]
code: def cumulative_percentage_of_variance_(self):
      """Returns the percentage of explained inertia per principal component."""
      return np.cumsum(self.percentage_of_variance_)
  
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 2 for calling the EigenvaluesMixin obj's underlying member method code with example usage: obj.cumulative_percentage_of_variance_() and returns: np