docstr: Anonymize a dataframe head by replacing the values of the columns
  that contain personal or sensitive information with random values.
  
  Args:
      df (pd.DataFrame): Dataframe to anonymize.
  
  Returns:
      pd.DataFrame: Anonymized dataframe.
code: def anonymize_dataframe_head(df: pd.DataFrame) -> pd.DataFrame:
      """
      Anonymize a dataframe head by replacing the values of the columns
      that contain personal or sensitive information with random values.
  
      Args:
          df (pd.DataFrame): Dataframe to anonymize.
  
      Returns:
          pd.DataFrame: Anonymized dataframe.
      """
  
      if len(df) == 0:
          return df
  
      # create a copy of the dataframe head
      df_head = df.head().copy()
  
      # for each column, check if it contains personal or sensitive information
      # and if so, replace the values with random values
      for col in df_head.columns:
          if Anonymizer._is_valid_email(str(df_head[col].iloc[0])):
              df_head[col] = df_head[col].apply(
                  lambda x: Anonymizer._generate_random_email()
              )
          elif Anonymizer._is_valid_phone_number(
              str(df_head[col].iloc[0])
          ):
              df_head[col] = df_head[col].apply(
                  lambda x: Anonymizer._generate_random_phone_number(
                      str(x)
                  )
              )
          elif Anonymizer._is_valid_credit_card(
              str(df_head[col].iloc[0])
          ):
              df_head[col] = df_head[col].apply(
                  lambda x: Anonymizer._generate_random_credit_card()
              )
  
      return df_head
  
file_path: pandas-ai/pandasai/helpers/anonymizer.py
imports: import random
  import re
  import string
  import pandas
label_desc: Use image node_id 7 for calling the Anonymizer obj's underlying member method code with example usage: obj.anonymize_dataframe_head(df) and returns: df_head, df