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 plot_all(self, *args, **kwargs):
      ax_gen = iter(
          sub_fig_generator(row_n=len(self._fea_ana_l), *args, **kwargs)
      )
  
      for col in self._dataset:
          if not self.skip(col):
              axes = next(ax_gen)
              for fa, ax in zip(self._fea_ana_l, axes):
                  if not fa.skip(col):
                      fa.plot_single(col, ax)
                  ax.set_xlabel("")
                  ax.set_title("")
              axes[0].set_title(col)
  
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 4 for calling the CombFeaAna obj's underlying member method code with example usage: obj.plot_all() without return types