docs: def enrich(self, column):
          """ This method splits file path in new columns allowing further
          filtering on those particular path parts:
              * File extension
              * File directory name (full path excluding file name)
              * File name (excluding directories)
              * Path list including each directory/file as a separated element
  
          :param column: column where the file path is found
          :type column: string
  
          :return: returns the original dataframe with new columns named
                   'file_ext', 'file_dir_name', 'file_name', 'path_list'
          :rtype: pandas.DataFrame
          """
  
          if column not in self.data:
              return self.data
  
          # Insert new columns
          self.data['file_name'] = \
              self.data.apply(lambda row: row[column][row[column].rfind('/') + 1:],
                              axis=1)
          self.data['file_ext'] = \
              self.data.apply(lambda row:
                              '' if (row.file_name.rfind('.') == -1)
                              else row.file_name[row.file_name.rfind('.') + 1:],
                              axis=1)
          # To get correct dir name:
          # *  Replace multiple consecutive slashes by just one
          self.data['file_dir_name'] = self.data[column].str.replace('/+', '/')
          self.data['file_dir_name'] = \
              self.data.apply(lambda row:
                              row.file_dir_name if row.file_dir_name.startswith('/')
                              else '/' + row.file_dir_name,
                              axis=1)
          self.data['file_dir_name'] = \
              self.data.apply(lambda row:
                              row.file_dir_name[:row.file_dir_name.rfind('/') + 1],
                              axis=1)
  
          # Clean filepath for splitting path parts:
          # * Replace multiple consecutive slashes by just one
          # * Remove leading slash if any, to avoid str.split to add an empty
          #   string to the resulting list of slices
          # * Remove trailing slash if any, to avoid str.split to add an empty
          #   string to the resulting list of slices
          self.data['file_path_list'] = self.data[column].str.replace('/+', '/')
          self.data['file_path_list'] = self.data.file_path_list.str.replace('^/', '')
          self.data['file_path_list'] = self.data.file_path_list.str.replace('/$', '')
          self.data['file_path_list'] = self.data.file_path_list.str.split('/')
  
          return self.data