class_docstr: Base class for creating profiling Reports.
code: def meta(self) -> Optional[dict]:
      meta_frame = {
          key: str(value)
          for key, value in self._meta.get("frame", {}).items()
      }
      meta_series_ = self._meta.get("series", {})
      meta_series = {
          series: str(meta_series_.get(series, ""))
          for series in self._df.columns
      }
      return dict(frame=meta_frame, series=meta_series)
  
file_path: tslumen/tslumen/report/base.py
imports: from typing import Optional
  import pandas
  from tslumen.scheduling import Scheduler
  from tslumen.profile.base import BundledProfiler, BundledResult, valid_timeseries
  from tslumen.profile import DefaultProfiler
label_desc: Use image node_id 5 for calling the Report obj's underlying member method code with example usage: obj.meta() and returns: dict