geoprob_pipe.cmd_app.parameter_input.input_parameter_figures
============================================================

.. py:module:: geoprob_pipe.cmd_app.parameter_input.input_parameter_figures


Classes
-------

.. autoapisummary::

   geoprob_pipe.cmd_app.parameter_input.input_parameter_figures.InputParameterFigures


Module Contents
---------------

.. py:class:: InputParameterFigures(app_settings, tables, export = False)

   .. py:attribute:: app_settings
      :type:  geoprob_pipe.cmd_app.cmd.ApplicationSettings


   .. py:attribute:: tables
      :type:  geoprob_pipe.cmd_app.parameter_input.input_parameter_tables.InputParameterTables


   .. py:attribute:: export
      :type:  bool
      :value: False



   .. py:attribute:: df_parameter_invoer
      :type:  Optional[pandas.DataFrame]
      :value: None



   .. py:attribute:: dict_vakindeling
      :type:  Dict[int, Dict]


   .. py:attribute:: traject_length
      :type:  Optional[float]
      :value: None



   .. py:attribute:: x_min
      :value: 0



   .. py:attribute:: x_max
      :value: 0



   .. py:attribute:: y_min
      :value: 0



   .. py:attribute:: y_max
      :value: 0



   .. py:method:: _gather_data()


   .. py:method:: _get_display_values_from_row(row)
      :staticmethod:


      :param row:
      :return: mean, 5% ondergrens, 95% bovengrens



   .. py:method:: _get_display_values_from_df(df)
      :staticmethod:


      Leest de gemiddelde en 5% en 95% karakteristieke waarden uit o.b.v. de mean en deviation.



   .. py:method:: _add_geospatial_level_data(fig, parameter_name)


   .. py:method:: _add_traject_level_data(fig, parameter_name)


   .. py:method:: _add_vak_level_data(fig, parameter_name)


   .. py:method:: _add_vak_level_per_scenario_data(fig, parameter_name)


   .. py:method:: _add_uittredepunt_level_data(fig, parameter_name)


   .. py:method:: _add_legend_symbols(fig)
      :staticmethod:



   .. py:method:: _create_figures()