Source code for highcharts_core.options.plot_options.treemap

from typing import Optional, List
from decimal import Decimal

from validator_collection import validators

from highcharts_core import errors, utility_functions
from highcharts_core.decorators import class_sensitive
from highcharts_core.options.plot_options.generic import GenericTypeOptions
from highcharts_core.utility_classes.zones import Zone
from highcharts_core.options.plot_options.levels import TreemapLevelOptions
from highcharts_core.utility_classes.gradients import Gradient
from highcharts_core.utility_classes.patterns import Pattern
from highcharts_core.utility_classes.breadcrumbs import BreadcrumbOptions

[docs]class TreemapOptions(GenericTypeOptions): """General options to apply to all Treemap series types. A treemap displays hierarchical data using nested rectangles. The data can be laid out in varying ways depending on options. .. figure:: ../../../_static/treemap-example.png :alt: Treemap Example Chart :align: center """ def __init__(self, **kwargs): self._animation_limit = None self._boost_blending = None self._boost_threshold = None self._border_radius = None self._color_axis = None self._color_key = None self._colors = None self._crop_threshold = None self._find_nearest_point_by = None self._get_extremes_from_all = None self._ignore_hidden_point = None self._linecap = None self._line_width = None self._negative_color = None self._point_interval = None self._point_interval_unit = None self._point_start = None self._relative_x_value = None self._soft_threshold = None self._stacking = None self._step = None self._zone_axis = None self._zones = None self._color_by_point = None self._color_index = None self._crisp = None self._allow_traversing_tree = None self._breadcrumbs = None self._level_is_constant = None self._levels = None self._alternate_starting_direction = None self._interact_by_leaf = None self._layout_algorithm = None self._layout_starting_direction = None self._sort_index = None self.animation_limit = kwargs.get('animation_limit', None) self.boost_blending = kwargs.get('boost_blending', None) self.boost_threshold = kwargs.get('boost_threshold', None) self.color_axis = kwargs.get('color_axis', None) self.color_key = kwargs.get('color_key', None) self.colors = kwargs.get('colors', None) self.crop_threshold = kwargs.get('crop_threshold', None) self.find_nearest_point_by = kwargs.get('find_nearest_point_by', None) self.get_extremes_from_all = kwargs.get('get_extremes_from_all', None) self.ignore_hidden_point = kwargs.get('ignore_hidden_point', None) self.linecap = kwargs.get('linecap', None) self.line_width = kwargs.get('line_width', None) self.negative_color = kwargs.get('negative_color', None) self.point_interval = kwargs.get('point_interval', None) self.point_interval_unit = kwargs.get('point_interval_unit', None) self.point_start = kwargs.get('point_start', None) self.relative_x_value = kwargs.get('relative_x_value', None) self.soft_threshold = kwargs.get('soft_threshold', None) self.stacking = kwargs.get('stacking', None) self.step = kwargs.get('step', None) self.zone_axis = kwargs.get('zone_axis', None) self.zones = kwargs.get('zones', None) self.color_index = kwargs.get('color_index', None) self.crisp = kwargs.get('crisp', None) self.allow_traversing_tree = kwargs.get('allow_traversing_tree', None) self.breadcrumbs = kwargs.get('breadcrumbs', None) self.color_by_point = kwargs.get('color_by_point', None) self.level_is_constant = kwargs.get('level_is_constant', None) self.levels = kwargs.get('levels', None) self.alternate_starting_direction = kwargs.get('alternate_starting_direction', None) self.interact_by_leaf = kwargs.get('interact_by_leaf', None) self.layout_algorithm = kwargs.get('layout_algorithm', None) self.layout_starting_direction = kwargs.get('layout_starting_direction', None) self.sort_index = kwargs.get('sort_index', None) super().__init__(**kwargs) @property def allow_traversing_tree(self) -> Optional[bool]: """If ``True``, the user can click on a point which is a parent and zoom in on its children. Defaults to ``False``. :rtype: :class:`bool <python:bool>` or :obj:`None <python:None>` """ return self._allow_traversing_tree @allow_traversing_tree.setter def allow_traversing_tree(self, value): if value is None: self._allow_traversing_tree = None else: self._allow_traversing_tree = bool(value) @property def alternate_starting_direction(self) -> Optional[bool]: """If ``True``, will make the treemap alternate the drawing direction between vertical and horizontal for each level. The next level's starting direction will always be the opposite of the previous. Defaults to ``False``. :rtype: :class:`bool <python:bool>` or :obj:`None <python:None>` """ return self._alternate_starting_direction @alternate_starting_direction.setter def alternate_starting_direction(self, value): if value is None: self._alternate_starting_direction = None else: self._alternate_starting_direction = bool(value) @property def animation_limit(self) -> Optional[int | float | Decimal]: """For some series, there is a limit that shuts down initial animation by default when the total number of points in the chart is too high. Defaults to :obj:`None <python:None>`. For example, for a column chart and its derivatives, animation does not run if there is more than 250 points totally. To disable this cap, set ``animation_limit`` to ``float("inf")`` (which represents infinity). :rtype: numeric or :obj:`None <python:None>` """ return self._animation_limit @animation_limit.setter def animation_limit(self, value): if value == float('inf'): self._animation_limit = float('inf') else: self._animation_limit = validators.numeric(value, allow_empty = True, minimum = 0) @property def boost_blending(self) -> Optional[str]: """Sets the color blending in the boost module. Defaults to :obj:`None <python:None>`. :rtype: :class:`str <python:str>` or :obj:`None <python:None>` """ return self._boost_blending @boost_blending.setter def boost_blending(self, value): self._boost_blending = validators.string(value, allow_empty = True) @property def boost_threshold(self) -> Optional[int]: """Set the point threshold for when a series should enter boost mode. Defaults to ``5000``. Setting it to e.g. 2000 will cause the series to enter boost mode when there are 2,000 or more points in the series. To disable boosting on the series, set the ``boost_threshold`` to ``0``. Setting it to ``1`` will force boosting. .. note:: The :meth:`AreaOptions.crop_threshold` also affects this setting. When zooming in on a series that has fewer points than the ``crop_threshold``, all points are rendered although outside the visible plot area, and the ``boost_threshold`` won't take effect. :rtype: :class:`int <python:int>` or :obj:`None <python:None>` """ return self._boost_threshold @boost_threshold.setter def boost_threshold(self, value): self._boost_threshold = validators.integer(value, allow_empty = True, minimum = 0) @property def breadcrumbs(self) -> Optional[BreadcrumbOptions]: """Options for the breadcrumbs, the navigation at the top leading the way up through the traversed levels. Defaults to :obj:`None <python:None>`. """ return self._breadcrumbs @breadcrumbs.setter @class_sensitive(BreadcrumbOptions) def breadcrumbs(self, value): self._breadcrumbs = value @property def color_axis(self) -> Optional[str | int | bool]: """When using dual or multiple color axes, this setting defines which :term:`color axis` the particular series is connected to. It refers to either the :meth:`` or the index of the axis in the :class:`ColorAxis` array, with ``0`` being the first. Set this option to ``False`` to prevent a series from connecting to the default color axis. Defaults to ``0``. :rtype: :obj:`None <python:None>` or :class:`str <python:str>` or :class:`int <python:int>` or :class:`bool <python:bool>` """ return self._color_axis @color_axis.setter def color_axis(self, value): if value is None: self._color_axis = None elif value is False: self._color_axis = False else: try: self._color_axis = validators.string(value) except TypeError: self._color_axis = validators.integer(value, minimum = 0) @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 color_key(self) -> Optional[str]: """Determines what data value should be used to calculate point color if :meth:`AreaOptions.color_axis` is used. .. note:: Requires to set ``min`` and ``max`` if some custom point property is used or if approximation for data grouping is set to ``'sum'``. :rtype: :class:`str <python:str>` or :obj:`None <python:None>` """ return self._color_key @color_key.setter def color_key(self, value): self._color_key = validators.string(value, allow_empty = True) @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 crisp(self) -> Optional[bool]: """If ``True``, each point or column edge is rounded to its nearest pixel in order to render sharp on screen. Defaults to ``True``. .. hint:: In some cases, when there are a lot of densely packed columns, this leads to visible difference in column widths or distance between columns. In these cases, setting ``crisp`` to ``False`` may look better, even though each column is rendered blurry. :rtype: :class:`bool <python:bool>` or :obj:`None <python:None>` """ return self._crisp @crisp.setter def crisp(self, value): if value is None: self._crisp = None else: self._crisp = bool(value) @property def crop_threshold(self) -> Optional[int]: """When the series contains less points than the crop threshold, all points are drawn, even if the points fall outside the visible plot area at the current zoom. Defaults to ``300``. The advantage of drawing all points (including markers and columns), is that animation is performed on updates. On the other hand, when the series contains more points than the crop threshold, the series data is cropped to only contain points that fall within the plot area. The advantage of cropping away invisible points is to increase performance on large series. :rtype: :class:`int <python:int>` or :obj:`None <python:None>` """ return self._crop_threshold @crop_threshold.setter def crop_threshold(self, value): self._crop_threshold = validators.integer(value, allow_empty = True, minimum = 0) @property def find_nearest_point_by(self) -> Optional[str]: """Determines whether the series should look for the nearest point in both dimensions or just the x-dimension when hovering the series. If :obj:`None <python:None>`, defaults to ``'xy'`` for scatter series and ``'x'`` for most other series. If the data has duplicate x-values, it is recommended to set this to ``'xy'`` to allow hovering over all points. Applies only to series types using nearest neighbor search (not direct hover) for tooltip. :rtype: :class:`str <python:str>` or :obj:`None <python:None>` """ return self._find_nearest_point_by @find_nearest_point_by.setter def find_nearest_point_by(self, value): self._find_nearest_point_by = validators.string(value, allow_empty = True) @property def get_extremes_from_all(self) -> Optional[bool]: """If ``True``, uses the Y extremes of the total chart width or only the zoomed area when zooming in on parts of the X axis. By default, the Y axis adjusts to the min and max of the visible data. .. warning:: Applies to :term:`Cartesian series` only. :rtype: :class:`bool <python:bool>` or :obj:`None <python:None>` """ return self._get_extremes_from_all @get_extremes_from_all.setter def get_extremes_from_all(self, value): if value is None: self._get_extremes_from_all = None else: self._get_extremes_from_all = bool(value) @property def ignore_hidden_point(self) -> Optional[bool]: """If ``True``, the series shall be redrawn as if the hidden points were ``null``. If ``False``, hidden points will not be displayed but the slice will still be drawn as a gap in the pie. Defaults to ``True``. :rtype: :class:`bool <python:bool>` or :obj:`None <python:None>` """ return self._ignore_hidden_point @ignore_hidden_point.setter def ignore_hidden_point(self, value): if value is None: self._ignore_hidden_point = None else: self._ignore_hidden_point = bool(value) @property def interact_by_leaf(self) -> Optional[bool]: """If ``True``, the user can only interact with leaf nodes. If ``False``, the user can interact with leaf and parent nodes. When :obj:`None <python:None>`, if :meth:`TreemapOptions.allow_traversing_tree` is ``True``, will default to ``False``. Otherwise will default to ``True``. Defaults to :obj:`None <python:None>` :rtype: :class:`bool <python:bool>` or :obj:`None <python:None>` """ return self._interact_by_leaf @interact_by_leaf.setter def interact_by_leaf(self, value): if value is None: self._interact_by_leaf = None else: self._interact_by_leaf = bool(value) @property def layout_algorithm(self) -> Optional[str]: """This option decides which algorithm is used for setting position and dimensions of the points. Defaults to ``'sliceAndDice'``. Accepts the following (case-sensitive) values: * ``'sliceAndDice'`` * ``'stripes'`` * ``'squarified'`` * ``'strip'`` .. note:: You also have the ability to extend Highcharts with your own layout algorithm. For more information, read the `original JavaScript documentation <>`__. :rtype: :class:`str <python:str>` or :obj:`None <python:None>` """ return self._layout_algorithm @layout_algorithm.setter def layout_algorithm(self, value): self._layout_algorithm = validators.variable_name(value, allow_empty = True) @property def layout_starting_direction(self) -> Optional[str]: """Defines which direction the layout algorithm will start drawing. Defaults to ``'vertical'``. Accepts: * ``'vertical'`` * ``'horizontal'`` :rtype: :class:`str <python:str>` or :obj:`None <python:None>` """ return self._layout_starting_direction @layout_starting_direction.setter def layout_starting_direction(self, value): if not value: self._layout_starting_direction = None else: value = validators.string(value) value = value.lower() if value not in ['vertical', 'horizontal']: raise errors.HighchartsError(f'layout_starting_direction expects either ' f'"vertical" or "horizontal". Received: ' f'{value}') self._layout_starting_direction = value @property def level_is_constant(self) -> Optional[bool]: """If ``True``, the level will be the same as the tree structure. If ``False``, the first level visible when drilling is considered to be level one. Defaults to ``True``. :rtype: :class:`bool <python:bool>` or :obj:`None <python:None>` """ return self._level_is_constant @level_is_constant.setter def level_is_constant(self, value): if value is None: self._level_is_constant = None else: self._level_is_constant = bool(value) @property def levels(self) -> Optional[List[TreemapLevelOptions]]: """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:`TreemapLevelOptions` """ return self._levels @levels.setter @class_sensitive(TreemapLevelOptions, force_iterable = True) def levels(self, value): self._levels = value @property def linecap(self) -> Optional[str]: """The SVG value used for the ``stroke-linecap`` and ``stroke-linejoin`` of a line graph. Defaults to ``'round'``, which means that lines are rounded in the ends and bends. :rtype: :class:`str <python:str>` or :obj:`None <python:None>` """ return self._linecap @linecap.setter def linecap(self, value): self._linecap = validators.string(value, allow_empty = True) @property def line_width(self) -> Optional[int | float | Decimal]: """Pixel width of the graph line. Defaults to ``2``. :rtype: numeric or :obj:`None <python:None>` """ return self._line_width @line_width.setter def line_width(self, value): self._line_width = validators.numeric(value, allow_empty = True, minimum = 0) @property def negative_color(self) -> Optional[str | Gradient | Pattern]: """The color for the parts of the graph or points that are below the :meth:`AreaOptions.threshold`. .. note:: :meth:`Zones <AreaOptions.zones>` take precedence over the negative color. Using ``negative_color`` is equivalent to applying a zone with value of 0. :rtype: :obj:`None <python:None>`, :class:`Gradient`, :class:`Pattern`, or :class:`str <python:str>` """ return self._negative_color @negative_color.setter def negative_color(self, value): from highcharts_core import utility_functions self._negative_color = utility_functions.validate_color(value) @property def point_interval(self) -> Optional[int | float | Decimal]: """If no x values are given for the points in a series, ``point_interval`` defines the interval of the x values. Defaults to ``1``. For example, if a series contains one value every decade starting from year 0, set ``point_interval`` to ``10``. In true datetime axes, the ``point_interval`` is set in milliseconds. .. hint:: ``point_interval`` can be also be combined with :meth:`point_interval_unit <AreaOptions.point_interval_unit>` to draw irregular time intervals. .. note:: If combined with :meth:`relative_x_value <AreaOptions.relative_x_value>`, an x value can be set on each point, and the ``point_interval`` is added x times to the :meth:`point_start <AreaOptions.point_start>` setting. .. warning:: This options applies to the series data, not the interval of the axis ticks, which is independent. :rtype: numeric or :obj:`None <python:None>` """ return self._point_interval @point_interval.setter def point_interval(self, value): self._point_interval = validators.numeric(value, allow_empty = True, minimum = 0) @property def point_interval_unit(self) -> Optional[str]: """On datetime series, this allows for setting the :meth:`point_interval <AreaOptions.point_interval>` to irregular time units, day, month, and year. A day is usually the same as 24 hours, but ``point_interval_unit`` also takes the DST crossover into consideration when dealing with local time. Combine this option with :meth:`point_interval <AreaOptions.point_interval>` to draw weeks, quarters, 6 month periods, 10 year periods, etc. .. warning:: This options applies to the series data, not the interval of the axis ticks, which is independent. :rtype: :class:`str <python:str>` or :obj:`None <python:None>` """ return self._point_interval_unit @point_interval_unit.setter def point_interval_unit(self, value): self._point_interval_unit = validators.string(value, allow_empty = True) @property def point_start(self) -> Optional[int | float | Decimal]: """If no x values are given for the points in a series, ``point_start`` defines on what value to start. For example, if a series contains one yearly value starting from 1945, set ``point_start`` to ``1945``. Defaults to ``0``. .. note:: If combined with :meth:`relative_x_value <AreaOptions.relative_x_value>`, an x value can be set on each point. The x value from the point options is multiplied by :meth:`point_interval <AreaOptions.point_interval>` and added to ``point_start`` to produce a modified x value. :rtype: numeric or :obj:`None <python:None>` """ return self._point_start @point_start.setter def point_start(self, value): self._point_start = validators.numeric(value, allow_empty = True) @property def relative_x_value(self) -> Optional[bool]: """When ``True``, X values in the data set are relative to the current :meth:`point_start <AreaOptions.point_start>`, :meth:`point_interval <AreaOptions.point_interval>`, and :meth:`point_interval_unit <AreaOptions.point_interval_unit>` settings. This allows compression of the data for datasets with irregular X values. Defaults to ``False``. The real X values are computed on the formula ``f(x) = ax + b``, where ``a`` is the :meth:`point_interval <AreaOptions.point_interval>` (optionally with a time unit given by :meth:`point_interval_unit <AreaOptions.point_interval_unit>`), and ``b`` is the :meth:`point_start <AreaOptions.point_start>`. :rtype: :class:`bool <python:bool>` or :obj:`None <python:None>` """ return self._relative_x_value @relative_x_value.setter def relative_x_value(self, value): if value is None: self._relative_x_value = None else: self._relative_x_value = bool(value) @property def soft_threshold(self) -> Optional[bool]: """When ``True``, the series will not cause the Y axis to cross the zero plane (or threshold option) unless the data actually crosses the plane. Defaults to ``True``. For example, if ``False``, a series of ``0, 1, 2, 3`` will make the Y axis show negative values according to the ``min_padidng`` option. If ``True``, the Y axis starts at 0. :rtype: :class:`bool <python:bool>` """ return self._soft_threshold @soft_threshold.setter def soft_threshold(self, value): if value is None: self._soft_threshold = None else: self._soft_threshold = bool(value) @property def sort_index(self) -> Optional[int]: """The sort index of the point inside the treemap level. Defaults to :obj:`None <python:None>`. :rtype: :class:`int <python:int>` or :obj:`None <python:None>` """ return self._sort_index @sort_index.setter def sort_index(self, value): self._sort_index = validators.integer(value, allow_empty = True, minimum = 0) @property def stacking(self) -> Optional[str]: """Whether to stack the values of each series on top of each other. Defaults to :obj:`None <python:None>`. Acceptable values are: * :obj:`None <python:None>` to disable stacking, * ``"normal"`` to stack by value or * ``"percent"`` * ``'stream'`` (for streamgraph series type only) * ``'overlap'`` (for waterfall series type only) .. note:: When stacking is enabled, data must be sorted in ascending X order. :rtype: :class:`str <python:str>` or :obj:`None <python:None>` """ return self._stacking @stacking.setter def stacking(self, value): if not value: self._stacking = None else: value = validators.string(value) value = value.lower() if value not in ['normal', 'percent', 'stream', 'overlap']: raise errors.HighchartsValueError(f'stacking expects a valid stacking ' f'value. However, received: {value}') self._stacking = value @property def step(self) -> Optional[str]: """Whether to apply steps to the line. Defaults to :obj:`None <python:None>`. Possible values are: * :obj:`None <python:None>` * ``'left'`` * ``'center'`` * ``'right'`` :rtype: :class:`str <python:str>` or :obj:`None <python:None>` """ return self._step @step.setter def step(self, value): self._step = validators.string(value, allow_empty = True) @property def zone_axis(self) -> Optional[str]: """Defines the Axis on which the zones are applied. Defaults to ``'y'``. :rtype: :class:`str <python:str>` or :obj:`None <python:None>` """ return self._zone_axis @zone_axis.setter def zone_axis(self, value): self._zone_axis = validators.string(value, allow_empty = True) @property def zones(self) -> Optional[List[Zone]]: """An array defining zones within a series. Defaults to :obj:`None <python:None>`. Zones can be applied to the X axis, Y axis or Z axis for bubbles, according to the :meth:`zone_axis <AreaOptions.zone_axis>` setting. .. warning:: The zone definitions have to be in ascending order regarding to the value. :rtype: :obj:`None <python:None>` or :class:`list <python:list>` of :class:`Zone` instances """ return self._zones @zones.setter @class_sensitive(Zone, force_iterable = True) def zones(self, value): self._zones = 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), 'animation_limit': as_dict.get('animationLimit', None), 'boost_blending': as_dict.get('boostBlending', None), 'boost_threshold': as_dict.get('boostThreshold', None), 'color_axis': as_dict.get('colorAxis', None), 'color_key': as_dict.get('colorKey', None), 'colors': as_dict.get('colors', None), 'crop_threshold': as_dict.get('cropThreshold', None), 'find_nearest_point_by': as_dict.get('findNearestPointBy', None), 'get_extremes_from_all': as_dict.get('getExtremesFromAll', None), 'inactive_other_points': as_dict.get('inactiveOtherPoints', None), 'ignore_hidden_point': as_dict.get('ignoreHiddenPoint', None), 'linecap': as_dict.get('linecap', None), 'line_width': as_dict.get('lineWidth', None), 'negative_color': as_dict.get('negativeColor', None), 'point_description_format': as_dict.get('pointDescriptionFormat', None), 'point_interval': as_dict.get('pointInterval', None), 'point_interval_unit': as_dict.get('pointIntervalUnit', None), 'point_start': as_dict.get('pointStart', None), 'relative_x_value': as_dict.get('relativeXValue', None), 'soft_threshold': as_dict.get('softThreshold', None), 'stacking': as_dict.get('stacking', None), 'step': as_dict.get('step', None), 'zone_axis': as_dict.get('zoneAxis', None), 'zones': as_dict.get('zones', None), 'color_index': as_dict.get('colorIndex', None), 'crisp': as_dict.get('crisp', None), 'allow_traversing_tree': as_dict.get('allowTraversingTree', None), 'breadcrumbs': as_dict.get('breadcrumbs', None), 'color_by_point': as_dict.get('colorByPoint', None), 'level_is_constant': as_dict.get('levelIsConstant', None), 'levels': as_dict.get('levels', None), 'alternate_starting_direction': as_dict.get('alternateStartingDirection', None), 'interact_by_leaf': as_dict.get('interactByLeaf', None), 'layout_algorithm': as_dict.get('layoutAlgorithm', None), 'layout_starting_direction': as_dict.get('layoutStartingDirection', None), 'sort_index': as_dict.get('sortIndex', None) } return kwargs def _to_untrimmed_dict(self, in_cls = None) -> dict: untrimmed = { 'allowTraversingTree': self.allow_traversing_tree, 'alternateStartingDirection': self.alternate_starting_direction, 'animationLimit': self.animation_limit, 'boostBlending': self.boost_blending, 'boostThreshold': self.boost_threshold, 'breadcrumbs': self.breadcrumbs, 'colorAxis': self.color_axis, 'colorByPoint': self.color_by_point, 'colorIndex': self.color_index, 'colorKey': self.color_key, 'colors': self.colors, 'crisp': self.crisp, 'cropThreshold': self.crop_threshold, 'findNearestPointBy': self.find_nearest_point_by, 'getExtremesFromAll': self.get_extremes_from_all, 'ignoreHiddenPoint': self.ignore_hidden_point, 'interactByLeaf': self.interact_by_leaf, 'layoutAlgorithm': self.layout_algorithm, 'layoutStartingDirection': self.layout_starting_direction, 'levelIsConstant': self.level_is_constant, 'levels': self.levels, 'linecap': self.linecap, 'lineWidth': self.line_width, 'negativeColor': self.negative_color, 'pointInterval': self.point_interval, 'pointIntervalUnit': self.point_interval_unit, 'pointStart': self.point_start, 'relativeXValue': self.relative_x_value, 'softThreshold': self.soft_threshold, 'sortIndex': self.sort_index, 'stacking': self.stacking, 'step': self.step, 'zoneAxis': self.zone_axis, 'zones': self.zones } 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