class_docstr: Class for textflint bar chart Report.
  Code from https://github.com/robustness-gym/robustness-gym
class_docstr_tok: ["Class","for","textflint","bar","chart","Report",".","Code","from","https",":","\/\/github.com\/robustness-gym\/robustness-gym"]
docstr: Filter report to specific categories AND slices.
  
  :param List[str] categories: list of category names to filter by
  :param List[str] slices: list of slice names to filter by
docstr_tok: ["Filter","report","to","specific","categories","AND","slices",".",":","param","List","[","str","]","categories",":","list","of","category","names","to","filter","by",":","param","List","[","str","]","slices",":","list","of","slice","names","to","filter","by"]
code: def filter(
      self, categories: List[str] = None, slices: List[str] = None
  ):
      r"""
      Filter report to specific categories AND slices.
  
      :param List[str] categories: list of category names to filter by
      :param List[str] slices: list of slice names to filter by
  
      """
      if categories is not None:
          # self.data = self.data.loc(self.data[0].isin(categories))
          self.data = self.data[self.data[0].isin(categories)]
      if slices is not None:
          self.data = self.data[self.data[1].isin(slices)]
      self.data.reset_index(inplace=True, drop=True)
  
imports: from __future__ import annotations
  import itertools
  from functools import partial
  from typing import Dict, List
  import dill
  import numpy
  import plotly.graph_objects
  from plotly.subplots import make_subplots
  import plotly.express
  from ..analyzer.analyzer import *
label_desc: Use image node_id 3 for calling the BarChart obj's underlying member method code with example usage: obj.filter(categories, slices) without return types