Imp_func.py

import itertools


def count_df(data,data_col): 
  choco_count = data[data_col].value_counts().rename_axis(data_col).reset_index(name='count') 
  choco_data_with_counts = pd.merge(left=data, right=choco_count, left_on=data_col, right_on=data_col) 
  return choco_data_with_counts 
  
  
def number_indicator(val, title_text, row_num, col_num): 
  return go.Indicator(mode = 'number',
                      value = val, 
                      number = {'valueformat':'0,f'}, 
                      title = {'text':title_text}, 
                      domain = {'row':row_num,'column':col_num}) 
                      
                      
def sort_sliced_dict(main_dict, is_reverse=True, item_count=None): 
  sorted_dict = {k:v for k, v in sorted(main_dict.items(), key=lambda item: item[1], reverse=is_reverse)} 
  if item_count is not None: 
    sorted_dict = dict(itertools.islice(sorted_dict.items(), item_count)) 
  return sorted_dict