text: from pymove.core.dataframe import PandasMoveDataFrame
  
  
  def feature_values_using_filter(
      move_data, id_, feature_name, filter_, values, inplace=True
  ):
      """
      Changes the values of the feature defined by the user.
  
      Parameters
      ----------
      move_data : dataframe
         The input trajectories data.
      id_ : String
          Indicates the index to be changed.
      feature_name : String
          The name of the column that the user wants to change values for.
      filter_ : Array
          Indicates the rows with the index "id_" of the "feature_name"
          that must be changed.
      values : ?
          THe new values to be set to the selected feature.
      inplace: boolean, optional(True by default)
          if set to true the original dataframe will be altered,
          otherwise the alteration will be made in a copy, that will be returned.
  
      Returns
      -------
      dataframe or None
          A copy of the original dataframe, with the alterations done
          by the function. (When inplace is False)
  
      Notes
      -----
      equivalent to: move_data.at[id_, feature_name][filter_] = values
      e.g. move_data.at[tid, "time"][filter_nodes] = intp_result.astype(np.int64)
      dataframe must be indexed by id_:
      move_data.set_index(index_name, inplace=True)
  
      """
  
      if not inplace:
          move_data = PandasMoveDataFrame(data=move_data.to_data_frame())
  
      values_feature = move_data.at[id_, feature_name]
      if filter_.shape == ():
          move_data.at[id_, feature_name] = values
      else:
          values_feature[filter_] = values
          move_data.at[id_, feature_name] = values_feature
  
      if not inplace:
          return move_data
      else:
          return None
  
  
  def feature_values_using_filter_and_indexes(
      move_data, id_, feature_name, filter_, idxs, values, inplace=True
  ):
      """
      Create or update move and stop by radius.
  
      Parameters
      ----------
      move_data : dataframe
         The input trajectories data.
      id_ : String
          Indicates the index to be changed.
      feature_name : String
          The name of the column that the user wants to change values for.
      filter_ : Array
          Indicates the rows with the index "id_" of the "feature_name"
          that must be changed.
      idxs : array like of indexes
          Indexes to atribute value
      values : array like
          The new values to be set to the selected feature.
      inplace: boolean, optional(True by default)
          if set to true the original dataframe will be altered,
          otherwise the alteration will be made in a copy, that will be returned.
      move_data : pandas.core.frame.DataFrame
          Represents the dataset with contains lat, long and datetime.
  
      Returns
      -------
      dataframe or None
          A copy of the original dataframe, with the alterations
          done by the function. (When inplace is False)
  
      """
  
      if not inplace:
          move_data = PandasMoveDataFrame(data=move_data.to_data_frame())
  
      values_feature = move_data.at[id_, feature_name]
      values_feature_filter = values_feature[filter_]
      values_feature_filter[idxs] = values
      values_feature[filter_] = values_feature_filter
      move_data.at[id_, feature_name] = values_feature
  
      if not inplace:
          return move_data
      else:
          return None
  