code: def calc_stat_values(self):
      self._inf_cnt = {}
      for col, item in self._dataset.items():
          if not super().skip(col):
              self._inf_cnt[col] = (
                  item.apply(np.isinf)
                  .astype(np.int)
                  .groupby(DT_COL_NAME)
                  .sum()
              )
      self._inf_cnt = pd.DataFrame(self._inf_cnt)
  
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 for calling the FeaInfAna obj's underlying member method code with example usage: obj.calc_stat_values() without return types