Source code for highcharts_core.options.plot_options.dumbbell

from typing import Optional, List
from decimal import Decimal

from validator_collection import validators

from highcharts_core import errors
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.utility_classes.shadows import ShadowOptions
from highcharts_core.options.plot_options.data_sorting import DataSorting
from highcharts_core.options.plot_options.drag_drop import HighLowDragDropOptions
from highcharts_core.utility_classes.zones import Zone


[docs]class DumbbellOptions(GenericTypeOptions): """General options to apply to all Dumbbell series types. The dumbbell series is a cartesian series with higher and lower values for each point along an X axis, connected with a line between the values. .. figure:: ../../../_static/dumbbell-example.png :alt: Dumbbell Example Chart :align: center """ def __init__(self, **kwargs): self._animation_limit = None self._color_axis = None self._color_index = None self._color_key = None self._connect_ends = None self._connect_nulls = None self._connector_color = None self._connector_width = None self._crisp = None self._crop_threshold = None self._data_sorting = None self._drag_drop = None self._find_nearest_point_by = None self._get_extremes_from_all = None self._group_padding = None self._linecap = None self._line_color = None self._low_color = None self._negative_color = None self._negative_fill_color = None self._point_interval = None self._point_interval_unit = None self._point_padding = None self._point_placement = None self._point_start = None self._relative_x_value = None self._shadow = None self._soft_threshold = None self._stacking = None self._step = None self._zone_axis = None self._zones = None self.animation_limit = kwargs.get('animation_limit', None) self.color_axis = kwargs.get('color_axis', None) self.color_index = kwargs.get('color_index', None) self.color_key = kwargs.get('color_key', None) self.connect_ends = kwargs.get('connect_ends', None) self.connect_nulls = kwargs.get('connect_nulls', None) self.connector_color = kwargs.get('connector_color', None) self.connector_width = kwargs.get('connector_width', None) self.crisp = kwargs.get('crisp', None) self.crop_threshold = kwargs.get('crop_threshold', None) self.data_sorting = kwargs.get('data_sorting', None) self.drag_drop = kwargs.get('drag_drop', 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.group_padding = kwargs.get('group_padding', None) self.linecap = kwargs.get('linecap', None) self.line_color = kwargs.get('line_color', None) self.low_color = kwargs.get('low_color', None) self.negative_color = kwargs.get('negative_color', None) self.negative_fill_color = kwargs.get('negative_fill_color', None) self.point_interval = kwargs.get('point_interval', None) self.point_interval_unit = kwargs.get('point_interval_unit', None) self.point_padding = kwargs.get('point_padding', None) self.point_placement = kwargs.get('point_placement', None) self.point_start = kwargs.get('point_start', None) self.relative_x_value = kwargs.get('relative_x_value', None) self.shadow = kwargs.get('shadow', 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) super().__init__(**kwargs) @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 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:`ColorAxis.id` 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_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 connect_ends(self) -> Optional[bool]: """If ``True``, connect the ends of a line series plot across the extremes. Defaults to :obj:`None <python:None>`. .. warning:: Applies to :term:`polar charts <polar chart>` only. :rtype: :class:`bool <python:bool>` or :obj:`None <python:None>` """ return self._connect_ends @connect_ends.setter def connect_ends(self, value): if value is None: self._connect_ends = None else: self._connect_ends = bool(value) @property def connect_nulls(self) -> Optional[bool]: """If ``True``, connect a graph line across null points. If ``False``, renders a gap between the points on either side of the null point. Defaults to ``False``. :rtype: :class:`bool <python:bool>` or :obj:`None <python:None>` """ return self._connect_nulls @connect_nulls.setter def connect_nulls(self, value): if value is None: self._connect_nulls = None else: self._connect_nulls = bool(value) @property def connector_color(self) -> Optional[str]: """Color of the line that connects the dumbbell point's values. If :obj:`None <python:None>`, applies the series' color. Defaults to :obj:`None <python:None>`. :rtype: :class:`str <python:str>` or :obj:`None <python:None>` """ return self._connector_color @connector_color.setter def connector_color(self, value): self._connector_color = validators.string(value, allow_empty = True) @property def connector_width(self) -> Optional[int | float | Decimal]: """Pixel width of the line that connects the dumbbell point's values. Defaults to ``1``. :rtype: numeric or :obj:`None <python:None>` """ return self._connector_width @connector_width.setter def connector_width(self, value): self._connector_width = validators.numeric(value, allow_empty = True) @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 data_sorting(self) -> Optional[DataSorting]: """Options for the series data sorting. :rtype: :class:`DataSorting` or :obj:`None <python:None>` """ return self._data_sorting @data_sorting.setter @class_sensitive(DataSorting) def data_sorting(self, value): self._data_sorting = value @property def drag_drop(self) -> Optional[HighLowDragDropOptions]: """The draggable-points module allows points to be moved around or modified in the chart. In addition to the options mentioned under the dragDrop API structure, the module fires three (JavaScript) events: * ``point.dragStart`` * ``point.drag`` * ``point.drop`` :rtype: :class:`DragDropOptions` or :obj:`None <python:None>` """ return self._drag_drop @drag_drop.setter @class_sensitive(HighLowDragDropOptions) def drag_drop(self, value): self._drag_drop = value @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 group_padding(self) -> Optional[int | float | Decimal]: """Defaults to ``0.2``. :rtype: numeric or :obj:`None <python:None>` """ return self._group_padding @group_padding.setter def group_padding(self, value): self._group_padding = validators.numeric(value, allow_empty = True) @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_color(self) -> Optional[str | Gradient | Pattern]: """A separate color for the graph line. When :obj:`None <python:None>`, by default the line takes the color of the series, but the ``line_color`` setting allows setting a separate color for the line without altering the :meth:`fill_color <AreaOptions.fill_color>`. :rtype: :obj:`None <python:None>`, :class:`Gradient`, :class:`Pattern`, or :class:`str <python:str>` """ return self._line_color @line_color.setter def line_color(self, value): from highcharts_core import utility_functions self._line_color = utility_functions.validate_color(value) @property def low_color(self) -> Optional[str | Gradient | Pattern]: """Color of the start markers in a dumbbell graph. Defaults to ``'#333333'``. :rtype: :obj:`None <python:None>`, :class:`Gradient`, :class:`Pattern`, or :class:`str <python:str>` """ return self._low_color @low_color.setter def low_color(self, value): from highcharts_core import utility_functions self._low_color = utility_functions.validate_color(value) @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 negative_fill_color(self) -> Optional[str | Gradient | Pattern]: """A separate color for the negative part of the area. :rtype: :obj:`None <python:None>`, :class:`Gradient`, :class:`Pattern`, or :class:`str <python:str>` """ return self._negative_fill_color @negative_fill_color.setter def negative_fill_color(self, value): from highcharts_core import utility_functions self._negative_fill_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_padding(self) -> Optional[int | float | Decimal]: """Defaults to ``0.1``. :rtype: numeric or :obj:`None <python:None>` """ return self._point_padding @point_padding.setter def point_padding(self, value): self._point_padding = validators.numeric(value, allow_empty = True) @property def point_placement(self) -> Optional[str]: """Used to determine the placement of the point in relation to tick marks on the X axis. Defaults to :obj:`None <python:None>`, which behaves as undefined in :term:`cartesian charts`, and ``"between"`` in polar charts. Accepts possible values: * ``'on'`` - where the point will not create any padding of the X axis. In a polar column chart this means that the first column points directly north. * ``"between"`` - where the columns will be laid out between ticks. This is useful for example for visualising an amount between two points in time or in a certain sector of a polar chart. * a numeric value - where ``0`` is on the axis value, ``-0.5`` is between this value and the previous, and ``0.5`` is between this value and the next. Unlike the textual options, numeric point placement options won't affect axis padding. .. warning:: Requires :meth:`point_range <AreaOptions.point_range>` to work. For column series this is computed, but for line-type series it needs to be set. .. note:: For the xrange series type and gantt charts, if the Y axis is a category axis, the ``point_placement`` applies to the Y axis rather than the (typically datetime) X axis. :rtype: :class:`str <python:str>` or :obj:`None <python:None>` """ return self._point_placement @point_placement.setter def point_placement(self, value): if value is None: self._point_placement = None else: try: self._point_placement = validators.numeric(value, minimum = -0.5, maximum = 0.5) except TypeError: value = validators.string(value) value = value.lower() if value not in ['on', 'between']: raise errors.HighchartsValueError(f'point_placement must be a number,' f' "on", or "between". Was: ' f'{value}') self._point_placement = value @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 shadow(self) -> Optional[bool | ShadowOptions]: """Configuration for the shadow to apply to the tooltip. Defaults to ``False``. If ``False``, no shadow is applied. :returns: The shadow configuration to apply or a boolean setting which hides the shadow or displays the default shadow. :rtype: :class:`bool <python:bool>` or :class:`ShadowOptions` """ return self._shadow @shadow.setter def shadow(self, value): if isinstance(value, bool): self._shadow = value elif not value: self._shadow = None else: value = validate_types(value, types = ShadowOptions) self._shadow = 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 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), 'color_axis': as_dict.get('colorAxis', None), 'color_index': as_dict.get('colorIndex', None), 'color_key': as_dict.get('colorKey', None), 'connect_ends': as_dict.get('connectEnds', None), 'connect_nulls': as_dict.get('connectNulls', None), 'connector_color': as_dict.get('connectorColor', None), 'connector_width': as_dict.get('connectorWidth', None), 'crisp': as_dict.get('crisp', None), 'crop_threshold': as_dict.get('cropThreshold', None), 'data_sorting': as_dict.get('dataSorting', None), 'drag_drop': as_dict.get('dragDrop', None), 'find_nearest_point_by': as_dict.get('findNearestPointBy', None), 'get_extremes_from_all': as_dict.get('getExtremesFromAll', None), 'group_padding': as_dict.get('groupPadding', None), 'linecap': as_dict.get('linecap', None), 'line_color': as_dict.get('lineColor', None), 'low_color': as_dict.get('lowColor', None), 'negative_color': as_dict.get('negativeColor', None), 'negative_fill_color': as_dict.get('negativeFillColor', None), 'point_interval': as_dict.get('pointInterval', None), 'point_interval_unit': as_dict.get('pointIntervalUnit', None), 'point_padding': as_dict.get('pointPadding', None), 'point_placement': as_dict.get('pointPlacement', None), 'point_start': as_dict.get('pointStart', None), 'relative_x_value': as_dict.get('relativeXValue', None), 'shadow': as_dict.get('shadow', 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), } return kwargs def _to_untrimmed_dict(self, in_cls = None) -> dict: untrimmed = { 'animationLimit': self.animation_limit, 'colorAxis': self.color_axis, 'colorIndex': self.color_index, 'colorKey': self.color_key, 'connectEnds': self.connect_ends, 'connectNulls': self.connect_nulls, 'connectorColor': self.connector_color, 'connectorWidth': self.connector_width, 'crisp': self.crisp, 'cropThreshold': self.crop_threshold, 'dataSorting': self.data_sorting, 'dragDrop': self.drag_drop, 'findNearestPointBy': self.find_nearest_point_by, 'getExtremesFromAll': self.get_extremes_from_all, 'groupPadding': self.group_padding, 'linecap': self.linecap, 'lineColor': self.line_color, 'lowColor': self.low_color, 'negativeColor': self.negative_color, 'negativeFillColor': self.negative_fill_color, 'pointInterval': self.point_interval, 'pointIntervalUnit': self.point_interval_unit, 'pointPadding': self.point_padding, 'pointPlacement': self.point_placement, 'pointStart': self.point_start, 'relativeXValue': self.relative_x_value, 'shadow': self.shadow, 'softThreshold': self.soft_threshold, '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
[docs]class LollipopOptions(DumbbellOptions): """General options to apply to all Lollipop series types. The lollipop series is a carteseian series with a line anchored from the x axis and a dot at the end to mark the value. .. warning:: Requires ``highcharts-more.js``, ``modules/dumbbell.js``, and ``modules/lollipop.js`` to be loaded client-side. .. figure:: ../../../_static/lollipop-example.png :alt: Lollipop Example Chart :align: center """ pass