code: def remove_users_with_fewer_than_n_interactions(
      df: pd.DataFrame,
      min_num_of_interactions: int = 3,
      user_col: str = "user_id",
  ) -> pd.DataFrame:
      """
      Remove DataFrame rows with users who appear fewer than ``min_num_of_interactions`` times.
  
      Parameters
      ----------
      df: pd.DataFrame
      min_num_of_interactions: int
          Minimum number of interactions a user can have while remaining in ``filtered_df``
      user_col: str
          Column name for the user IDs
  
      Returns
      -------
      filtered_df: pd.DataFrame
  
      """
      value_counts_df = df[user_col].value_counts()
  
      return df[
          ~df[user_col].isin(
              value_counts_df[
                  value_counts_df < min_num_of_interactions
              ].index
          )
      ].reset_index(drop=True)
  
imports: from datetime import datetime
  import inspect
  from pathlib import Path
  import re
  import time
  from typing import Any, Dict, Iterable, List, Optional, Union
  import docstring_parser
  import numpy
  import pandas
  import pytorch_lightning
  from scipy.sparse import coo_matrix
  import torch
  from collie.interactions import Interactions
label_desc: Use image node_id 7 for calling a global function with example usage: remove_users_with_fewer_than_n_interactions(df, min_num_of_interactions, user_col) and returns: df