class_docstr: Combine the sub feature analysers and plot then in a single graph
class_docstr_tok: ["Combine","the","sub","feature","analysers","and","plot","then","in","a","single","graph"]
code: def __init__(self, dataset: pd.DataFrame, *fea_ana_cls):
      if len(fea_ana_cls) <= 1:
          raise NotImplementedError(
              f"This type of input is not supported"
          )
      self._fea_ana_l = [fcls(dataset) for fcls in fea_ana_cls]
      super().__init__(dataset=dataset)
  
imports: import pandas
  import numpy
  from qlib.contrib.report.data.base import FeaAnalyser
  from qlib.contrib.report.utils import sub_fig_generator
  from qlib.utils.paral import datetime_groupby_apply
  from qlib.contrib.eva.alpha import pred_autocorr_all
  from loguru import logger
  import seaborn
label_desc: Use image node_id 1 to create a new CombFeaAna object from inherited base classes: FeaAnalyser with example: obj = CombFeaAna(dataset)