from typing import Optional, List
from decimal import Decimal
from validator_collection import validators
from highcharts_core import constants, errors, utility_functions
from highcharts_core.decorators import class_sensitive, validate_types
from highcharts_core.options.plot_options.generic import GenericTypeOptions
from highcharts_core.utility_classes.gradients import Gradient
from highcharts_core.utility_classes.patterns import Pattern
from highcharts_core.options.plot_options.levels import LevelOptions
from highcharts_core.options.tooltips import DiagramTooltip
[docs]class DependencyWheelOptions(GenericTypeOptions):
"""General options to apply to all Dependency Wheel series types.
A dependency wheel chart is a type of flow diagram, where all nodes are laid out
in a circle, and the flow between the are drawn as link bands.
.. figure:: ../../../_static/dependencywheel-example.png
:alt: Dependency Wheel Example Chart
:align: center
"""
def __init__(self, **kwargs):
self._border_color = None
self._border_width = None
self._center = None
self._center_in_category = None
self._color_by_point = None
self._color_index = None
self._colors = None
self._curve_factor = None
self._levels = None
self._link_opacity = None
self._min_link_width = None
self._node_padding = None
self._node_width = None
self._start_angle = None
self.border_color = kwargs.get('border_color', None)
self.border_width = kwargs.get('border_width', None)
self.center = kwargs.get('center', None)
self.center_in_category = kwargs.get('center_in_category', None)
self.color_by_point = kwargs.get('color_by_point', None)
self.color_index = kwargs.get('color_index', None)
self.colors = kwargs.get('colors', None)
self.curve_factor = kwargs.get('curve_factor', None)
self.levels = kwargs.get('levels', None)
self.link_opacity = kwargs.get('link_opacity', None)
self.min_link_width = kwargs.get('min_link_width', None)
self.node_padding = kwargs.get('node_padding', None)
self.node_width = kwargs.get('node_width', None)
self.start_angle = kwargs.get('start_angle', None)
super().__init__(**kwargs)
@property
def border_color(self) -> Optional[str | Gradient | Pattern]:
"""The color of the border surrounding each column or bar. Defaults to
``'#ffffff'``.
:rtype: :class:`str <python:str>` or :obj:`None <python:None>`
"""
return self._border_color
@border_color.setter
def border_color(self, value):
from highcharts_core import utility_functions
self._border_color = utility_functions.validate_color(value)
@property
def border_width(self) -> Optional[int | float | Decimal]:
"""The width of the border surrounding each column or bar. If
:obj:`None <python:None>`, defaults to ``1`` when there is room for a border, but
to ``0`` when the columns are so dense that a border would cover the next column.
:rtype: numeric or :obj:`None <python:None>`
"""
return self._border_width
@border_width.setter
def border_width(self, value):
self._border_width = validators.numeric(value,
allow_empty = True,
minimum = 0)
@property
def center(self) -> Optional[List[str | int | float | Decimal | constants.EnforcedNullType]]:
"""The center of the wheel relative to the plot area. Expects a two-member array,
indicating the x and y coordinates as percentages or pixel values. If
:obj:`None <python:None>`, the default behaviour is to center the wheel inside the
plot area.
:rtype: :obj:`None <python:None>` or :class:`list <python:list>` of numeric or
:class:`str <python:str>` values
"""
return self._center
@center.setter
def center(self, value):
if not value:
self._center = None
else:
value = validators.iterable(value)
if len(value) != 2:
raise errors.HighchartsValueError(f'center expects a 2-member array. '
f'Received a {len(value)}-member '
f'array.')
processed_values = []
for item in value:
try:
item = validators.string(item)
if '%' not in item:
raise errors.HighchartsValueError('center expects a 2-member '
'array of numbers or '
'percentage strings. No "%" '
'was found in the string.')
except TypeError:
item = validators.numeric(value)
processed_values.append(item)
self._center = processed_values
@property
def center_in_category(self) -> Optional[bool]:
"""If ``True``, the columns will center in the category, ignoring null or missing
points. When ``False``, space will be reserved for null or missing points.
Defaults to ``False``.
:rtype: :class:`bool <python:bool>` or :obj:`None <python:None>`
"""
return self._center_in_category
@center_in_category.setter
def center_in_category(self, value):
if value is None:
self._center_in_category = None
else:
self._center_in_category = bool(value)
@property
def color_by_point(self) -> Optional[bool]:
"""When using automatic point colors pulled from the global colors or
series-specific collections, this option determines whether the chart should
receive one color per series (``False``) or one color per point (``True``).
Defaults to ``True``.
:rtype: :class:`bool <python:bool>` or :obj:`None <python:None>`
"""
return self._color_by_point
@color_by_point.setter
def color_by_point(self, value):
if value is None:
self._color_by_point = None
else:
self._color_by_point = bool(value)
@property
def color_index(self) -> Optional[int]:
"""When operating in :term:`styled mode`, a specific color index to use for the
series, so that its graphic representations are given the class name
``highcharts-color-{n}``.
Defaults to :obj:`None <python:None>`.
:rtype: :class:`int <python:int>` or :obj:`None <python:None>`
"""
return self._color_index
@color_index.setter
def color_index(self, value):
self._color_index = validators.integer(value,
allow_empty = True,
minimum = 0)
@property
def colors(self) -> Optional[List[str | Gradient | Pattern]]:
"""A series-specific or series type-specific color set to apply instead of the
global colors when :meth:`ArcDiagramOptions.color_by_point` is ``True``.
:rtype: :class:`list <python:list>` of :class:`str <python:str>`,
:class:`Gradient`, or :class:`Pattern` OR :obj:`None <python:None>`
"""
return self._colors
@colors.setter
def colors(self, value):
if not value:
self._colors = None
else:
value = validators.iterable(value)
self._colors = [utility_functions.validate_color(x) for x in value]
@property
def curve_factor(self) -> Optional[int | float | Decimal]:
"""The amount by which to curve the lines in a sankey diagram or dependency wheel.
Higher numbers makes the links more curved, while a curveFactor of ``0`` makes the
lines straight. Defaults to ``0.6``.
:rtype: numeric or :obj:`None <python:None>`
"""
return self._curve_factor
@curve_factor.setter
def curve_factor(self, value):
self._curve_factor = validators.numeric(value, allow_empty = True)
@property
def levels(self) -> Optional[List[LevelOptions]]:
"""Set options on specific levels. Takes precedence over series options, but not
node and link options.
:rtype: :obj:`None <python:None>`, or :class:`list <python:list>` of
:class:`LevelOptions`
"""
return self._levels
@levels.setter
@class_sensitive(LevelOptions, force_iterable = True)
def levels(self, value):
self._levels = value
@property
def link_opacity(self) -> Optional[int | float | Decimal]:
"""Opacity for the links between nodes in sankey or similar diagrams. Defaults to
``0.5``.
:rtype: numeric or :obj:`None <python:None>`
"""
return self._link_opacity
@link_opacity.setter
def link_opacity(self, value):
self._link_opacity = validators.numeric(value,
allow_empty = True,
minimum = 0)
@property
def min_link_width(self) -> Optional[int | float | Decimal]:
"""The minimal width for a line of a sankey or similar diagram. By default,
``0`` values are not shown. Defaults to ``0``.
:rtype: numeric or :obj:`None <python:None>`
"""
return self._min_link_width
@min_link_width.setter
def min_link_width(self, value):
self._min_link_width = validators.numeric(value,
allow_empty = True,
minimum = 0)
@property
def node_padding(self) -> Optional[int | float | Decimal]:
"""The padding between nodes in a sankey diagram or dependency wheel, in pixels.
Defaults to ``10``.
.. note::
If the number of nodes is so great that it is not possible to lay them out
within the plot area with the given ``node_padding``, they will be rendered with
a smaller padding as a strategy to avoid overflow.
:rtype: numeric or :obj:`None <python:None>`
"""
return self._node_padding
@node_padding.setter
def node_padding(self, value):
self._node_padding = validators.numeric(value,
allow_empty = True)
@property
def node_width(self) -> Optional[str | int | float | Decimal]:
"""The pixel width of each node in a sankey diagram or dependency wheel, or the
height in case the chart is inverted.
Can be a number or a percentage string.
Defaults to ``20``.
:rtype: :class:`str <python:str>` or numeric or :obj:`None <python:None>`
"""
return self._node_width
@node_width.setter
def node_width(self, value):
if value is None:
self._node_width = None
else:
try:
value = validators.string(value)
if "%" not in value:
raise ValueError
except (TypeError, ValueError):
value = validators.numeric(value)
self._node_width = value
@property
def start_angle(self) -> Optional[int | float | Decimal]:
"""The start angle of the dependency wheel, in degrees where ``0`` is up. Defaults
to ``0``.
:rtype: numeric or :obj:`None <python:None>`
"""
return self._start_angle
@start_angle.setter
def start_angle(self, value):
self._start_angle = validators.numeric(value,
allow_empty = True,
minimum = 0,
maximum = 360)
@property
def tooltip(self) -> Optional[DiagramTooltip]:
"""A configuration object for the tooltip rendering of each single series.
Properties are inherited from tooltip, but only the following properties can be
defined on a series level.
:rtype: :class:`DiagramTooltip <highcharts_core.options.tooltips.DiagramTooltip` or :obj:`None <python:None>`
"""
return self._tooltip
@tooltip.setter
@class_sensitive(DiagramTooltip)
def tooltip(self, value):
self._tooltip = value
@classmethod
def _get_kwargs_from_dict(cls, as_dict):
kwargs = {
'accessibility': as_dict.get('accessibility', None),
'allow_point_select': as_dict.get('allowPointSelect', None),
'animation': as_dict.get('animation', None),
'class_name': as_dict.get('className', None),
'clip': as_dict.get('clip', None),
'color': as_dict.get('color', None),
'cursor': as_dict.get('cursor', None),
'custom': as_dict.get('custom', None),
'dash_style': as_dict.get('dashStyle', None),
'data_labels': as_dict.get('dataLabels', None),
'description': as_dict.get('description', None),
'enable_mouse_tracking': as_dict.get('enableMouseTracking', None),
'events': as_dict.get('events', None),
'include_in_data_export': as_dict.get('includeInDataExport', None),
'keys': as_dict.get('keys', None),
'label': as_dict.get('label', None),
'legend_symbol': as_dict.get('legendSymbol', None),
'linked_to': as_dict.get('linkedTo', None),
'marker': as_dict.get('marker', None),
'on_point': as_dict.get('onPoint', None),
'opacity': as_dict.get('opacity', None),
'point': as_dict.get('point', None),
'point_description_formatter': as_dict.get('pointDescriptionFormatter', None),
'selected': as_dict.get('selected', None),
'show_checkbox': as_dict.get('showCheckbox', None),
'show_in_legend': as_dict.get('showInLegend', None),
'skip_keyboard_navigation': as_dict.get('skipKeyboardNavigation', None),
'sonification': as_dict.get('sonification', None),
'states': as_dict.get('states', None),
'sticky_tracking': as_dict.get('stickyTracking', None),
'threshold': as_dict.get('threshold', None),
'tooltip': as_dict.get('tooltip', None),
'turbo_threshold': as_dict.get('turboThreshold', None),
'visible': as_dict.get('visible', None),
'border_color': as_dict.get('borderColor', None),
'border_width': as_dict.get('borderWidth', None),
'center': as_dict.get('center', None),
'center_in_category': as_dict.get('centerInCategory', None),
'color_by_point': as_dict.get('colorByPoint', None),
'color_index': as_dict.get('colorIndex', None),
'colors': as_dict.get('colors', None),
'curve_factor': as_dict.get('curveFactor', None),
'levels': as_dict.get('levels', None),
'link_opacity': as_dict.get('linkOpacity', None),
'min_link_width': as_dict.get('minLinkWidth', None),
'node_padding': as_dict.get('nodePadding', None),
'node_width': as_dict.get('nodeWidth', None),
'start_angle': as_dict.get('startAngle', None)
}
return kwargs
def _to_untrimmed_dict(self, in_cls = None) -> dict:
untrimmed = {
'borderColor': self.border_color,
'borderWidth': self.border_width,
'center': self.center,
'centerInCategory': self.center_in_category,
'colorByPoint': self.color_by_point,
'colorIndex': self.color_index,
'colors': self.colors,
'curveFactor': self.curve_factor,
'levels': self.levels,
'linkOpacity': self.link_opacity,
'minLinkWidth': self.min_link_width,
'nodePadding': self.node_padding,
'nodeWidth': self.node_width,
'startAngle': self.start_angle
}
parent_as_dict = super()._to_untrimmed_dict(in_cls = in_cls)
for key in parent_as_dict:
untrimmed[key] = parent_as_dict[key]
return untrimmed