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 skip(self, col):
      return np.all(list(map(lambda fa: fa.skip(col), self._fea_ana_l)))
  
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 2 for calling the CombFeaAna obj's underlying member method code with example usage: obj.skip(col) and returns: np