Input parameter figures

Classes

InputParameterFigures

Module Contents

class InputParameterFigures(app_settings, tables, export=False)
Parameters:
app_settings: Applicationsettings
tables: Inputparametertables
export: bool = False
df_parameter_invoer: pandas.DataFrame | None = None
dict_vakindeling: Dict[int, Dict]
traject_length: float | None = None
x_min = 0
x_max = 0
y_min = 0
y_max = 0
_gather_data()
static _get_display_values_from_row(row)
Parameters:

row

Returns:

mean, 5% ondergrens, 95% bovengrens

Return type:

Tuple[float, Optional[float], Optional[float]]

static _get_display_values_from_df(df)

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

Parameters:

df (pandas.DataFrame)

Return type:

Tuple[List[float], Optional[List[Optional[None]]], Optional[List[Optional[None]]]]

_add_geospatial_level_data(fig, parameter_name)
Parameters:

  • fig (plotly.graph_objects.Figure)

  • parameter_name (str)

Return type:

plotly.graph_objects.Figure

_add_traject_level_data(fig, parameter_name)
Parameters:

  • fig (plotly.graph_objects.Figure)

  • parameter_name (str)

Return type:

plotly.graph_objects.Figure

_add_vak_level_data(fig, parameter_name)
Parameters:

  • fig (plotly.graph_objects.Figure)

  • parameter_name (str)

Return type:

plotly.graph_objects.Figure

_add_vak_level_per_scenario_data(fig, parameter_name)
Parameters:

  • fig (plotly.graph_objects.Figure)

  • parameter_name (str)

Return type:

plotly.graph_objects.Figure

_add_uittredepunt_level_data(fig, parameter_name)
Parameters:

  • fig (plotly.graph_objects.Figure)

  • parameter_name (str)

Return type:

plotly.graph_objects.Figure

static _add_legend_symbols(fig)
Parameters:

fig (plotly.graph_objects.Figure)

Return type:

plotly.graph_objects.Figure

_create_figures()