code: def __init__(self, req):
      self.category_col = get_str_arg(req, "categoryCol")
      self.category_agg = get_str_arg(req, "categoryAgg", "mean")
      self.aggs = [
          "count",
          "sum" if self.category_agg == "pctsum" else self.category_agg,
      ]
      self.top = get_int_arg(req, "top")
  
imports: import numpy
  import pandas
  import plotly.express
  import plotly.graph_objs
  import pprint
  import scipy.stats
  import time
  import dtale.global_state
  import dtale.pandas_util
  from dtale.code_export import build_code_export, build_final_chart_code
  from dtale.column_builders import clean, clean_code
  from dtale.describe import load_describe
  from dtale.query import build_query, load_filterable_data
  from dtale.utils import apply, classify_type, find_dtype, find_dtype_formatter, find_selected_column, get_bool_arg, get_int_arg, get_str_arg, grid_columns, grid_formatter, json_float, json_timestamp, make_list
label_desc: Use image node_id 1 to create a new CategoryAnalysis object from inherited base classes: object with example: obj = CategoryAnalysis(req)