import datetime
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
from highcharts_core.options.plot_options.generic import GenericTypeOptions
from highcharts_core.utility_classes.buttons import CollapseButtonConfiguration
from highcharts_core.utility_classes.events import SeriesEvents
from highcharts_core.utility_classes.javascript_functions import CallbackFunction
from highcharts_core.options.plot_options.link import LinkOptions
from highcharts_core.options.plot_options.levels import TreegraphLevelOptions
[docs]class TreegraphEvents(SeriesEvents):
"""General event handlers for the series items.
.. tip::
These event hooks can also be attached to the series at run time using the ``Highcharts.addEvent()`` (JavaScript)
function.
"""
def __init__(self, **kwargs):
self._set_root_node = None
self.set_root_node = kwargs.get('set_root_node', None)
super().__init__(**kwargs)
@property
def set_root_node(self) -> Optional[CallbackFunction]:
"""Event handler that fires on a request to change the tree's root node, *before* the update is made.
An event object is passed to the function, containing additional properties ``newRootId``, ``previousRootId``,
``redraw``, and ``trigger``.
Defaults to :obj:`None <python:None>`
:rtype: :class:`CallbackFunction <highcharts_core.utility_classes.javascript_functions.CallbackFunction>` or
:obj:`None <python:None>`
"""
return self._set_root_node
@set_root_node.setter
@class_sensitive(CallbackFunction)
def set_root_node(self, value):
self._set_root_node = value
@classmethod
def _get_kwargs_from_dict(cls, as_dict):
kwargs = {
'after_animate': as_dict.get('afterAnimate', None),
'checkbox_click': as_dict.get('checkboxClick', None),
'click': as_dict.get('click', None),
'hide': as_dict.get('hide', None),
'legend_item_click': as_dict.get('legendItemClick', None),
'mouse_out': as_dict.get('mouseOut', None),
'mouse_over': as_dict.get('mouseOver', None),
'show': as_dict.get('show', None),
'set_root_node': as_dict.get('setRootNode', None),
}
return kwargs
def _to_untrimmed_dict(self, in_cls = None) -> dict:
untrimmed = {
'afterAnimate': self.after_animate,
'checkboxClick': self.checkbox_click,
'click': self.click,
'hide': self.hide,
'legendItemClick': self.legend_item_click,
'mouseOut': self.mouse_out,
'mouseOver': self.mouse_over,
'setRootNode': self.set_root_node,
'show': self.show
}
return untrimmed
[docs]class TreegraphOptions(GenericTypeOptions):
"""General options to apply to all :term:`Treegraph` series types.
A treegraph visualizes a relationship between ancestors and descendants with a clear parent-child relationship,
e.g. a family tree or a directory structure.
.. figure:: ../../../_static/treegraph-example.png
:alt: Treegraph Example Chart
:align: center
"""
def __init__(self, **kwargs):
self._animation_limit = None
self._boost_blending = None
self._boost_threshold = None
self._color_index = None
self._crisp = None
self._crop_threshold = None
self._find_nearest_point_by = None
self._get_extremes_from_all = None
self._relative_x_value = None
self._soft_threshold = None
self._step = None
self._point_interval = None
self._point_interval_unit = None
self._point_start = None
self._stacking = None
self._allow_traversing_tree = None
self._collapse_button = None
self._color_by_point = None
self._fill_space = None
self._link = None
self._reversed = None
self._traverse_up_button = None
self._levels = None
self._node_distance = None
self._node_width = 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_index = kwargs.get('color_index', None)
self.crisp = kwargs.get('crisp', 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.relative_x_value = kwargs.get('relative_x_value', None)
self.soft_threshold = kwargs.get('soft_threshold', None)
self.step = kwargs.get('step', 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.stacking = kwargs.get('stacking', None)
self.allow_traversing_tree = kwargs.get('allow_traversing_tree', None)
self.collapse_button = kwargs.get('collapse_button', None)
self.color_by_point = kwargs.get('color_by_point', None)
self.fill_space = kwargs.get('fill_space', None)
self.link = kwargs.get('link', None)
self.reversed = kwargs.get('reversed', None)
self.levels = kwargs.get('levels', None)
self.node_distance = kwargs.get('node_distance', None)
self.node_width = kwargs.get('node_width', 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 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 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}``.
.. tip::
.. versionadded:: Highcharts (JS) v.11
With Highcharts (JS) v.11, using CSS variables of the form ``--highcharts-color-{n}`` make
changing the color scheme very simple.
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 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 events(self) -> Optional[TreegraphEvents]:
"""General event handlers for the series items.
.. note::
These event hooks can also be attached to the series at run time using the
(JavaScript) ``Highcharts.addEvent()`` function.
:rtype: :class:`TreegraphEvents` or :obj:`None <python:None>`
"""
return self._events
@events.setter
@class_sensitive(TreegraphEvents)
def events(self, value):
self._events = 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 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 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 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):
try:
value = validators.numeric(value, allow_empty = True)
except (TypeError, ValueError) as error:
value = validators.datetime(value)
if hasattr(value, 'timestamp') and value.tzinfo is not None:
self._point_start = value.timestamp()*1000
elif hasattr(value, 'timestamp'):
value = value.replace(tzinfo = datetime.timezone.utc)
value = value.timestamp()*1000
else:
raise error
self._point_start = 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 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 collapse_button(self) -> Optional[CollapseButtonConfiguration]:
"""Options applied to the Collapse Button, which is the small button that indicates the node is collapsible.
:rtype: :class:`CollapseButtonConfiguration <highcharts_core.utility_classes.buttons.CollapseButtonConfiguration>`
or :obj:`None <python:None>`
"""
return self._collapse_button
@collapse_button.setter
@class_sensitive(CollapseButtonConfiguration)
def collapse_button(self, value):
self._collapse_button = 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 fill_space(self) -> Optional[bool]:
"""If ``True``, the treegraph series should fill the entire plot area in the
X-axis direction, even when there are collapsed points. Defaults to ``False``.
:rtype: :class:`bool <python:bool>`
"""
return self._fill_space
@fill_space.setter
def fill_space(self, value):
if value is None:
self._fill_space = None
else:
self._fill_space = bool(value)
@property
def link(self) -> Optional[LinkOptions]:
"""Link style options.
:rtype: :class:`LinkOptions` or :obj:`None <python:None>`
"""
return self._link
@link.setter
@class_sensitive(LinkOptions)
def link(self, value):
self._link = value
@property
def reversed(self) -> Optional[bool]:
"""If ``True``, places the series on the other side of the plot area. Defaults to
``False``.
:rtype: :class:`bool <python:bool>` or :obj:`None <python:None>`
"""
return self._reversed
@reversed.setter
def reversed(self, value):
if value is None:
self._reversed = None
else:
self._reversed = bool(value)
@property
def levels(self) -> Optional[List[TreegraphLevelOptions]]:
"""Set options on specific levels.
.. note::
Takes precedence over series options, but not point options.
:rtype: :class:`TreemapLevelOptions <highcharts_core.options.plot_options.levels.TreemapLevelOptions>`
or :obj:`None <python:None>`
"""
return self._levels
@levels.setter
@class_sensitive(TreegraphLevelOptions)
def levels(self, value):
self._levels = value
@property
def node_distance(self) -> Optional[str | int | float | Decimal]:
"""The distance between nodes in a treegraph diagram in the longitudinal
direction. Defaults to ``30``.
.. note::
The longitudinal direction means the direction that the chart flows - in a
horizontal chart the distance is horizontal, in an inverted chart (vertical),
the distance is vertical.
If a number is given, it denotes pixels. If a percentage string is given, the
distance is a percentage of the rendered node width. A value of 100% will render
equal widths for the nodes and the gaps between them.
.. note::
This option applies only when the ``.node_width`` option is ``'auto'``, making
the node width respond to the number of columns.
:rtype: :class:`str <python:str>` or numeric or :obj:`None <python:None>`
"""
return self._node_distance
@node_distance.setter
def node_distance(self, value):
if value is None:
self._node_distance = None
else:
try:
value = validators.string(value)
if "%" not in value:
raise ValueError
except (TypeError, ValueError):
value = validators.numeric(value)
self._node_distance = value
@property
def node_width(self) -> Optional[str | int | float | Decimal]:
"""The pixel width of each node in a treegraph, or the height in case the chart is
inverted. Defaults to :obj:`None <python:None>`.
For tree graphs, the node width is only applied if the marker symbol is ``'rect'``,
otherwise the marker sizing options apply.
Can be a number or a percentage string, or ``'auto'``. If ``'auto'``, the nodes are
sized to fill up the plot area in the longitudinal direction, regardless of the
number of levels.
: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)
value = value.lower()
if value != "auto" and "%" not in value:
raise ValueError
except (TypeError, ValueError):
value = validators.numeric(value)
self._node_width = value
@classmethod
def _get_kwargs_from_dict(cls, as_dict):
"""Convenience method which returns the keyword arguments used to initialize the
class from a Highcharts Javascript-compatible :class:`dict <python:dict>` object.
:param as_dict: The HighCharts JS compatible :class:`dict <python:dict>`
representation of the object.
:type as_dict: :class:`dict <python:dict>`
:returns: The keyword arguments that would be used to initialize an instance.
:rtype: :class:`dict <python: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),
'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_index': as_dict.get('colorIndex', None),
'crisp': as_dict.get('crisp', 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),
'relative_x_value': as_dict.get('relativeXValue', None),
'soft_threshold': as_dict.get('softThreshold', None),
'step': as_dict.get('step', None),
'point_interval': as_dict.get('pointInterval', None),
'point_interval_unit': as_dict.get('pointIntervalUnit', None),
'point_start': as_dict.get('pointStart', None),
'stacking': as_dict.get('stacking', None),
'allow_traversing_tree': as_dict.get('allowTraversingTree', None),
'collapse_button': as_dict.get('collapseButton', None),
'color_by_point': as_dict.get('colorByPoint', None),
'fill_space': as_dict.get('fillSpace', None),
'link': as_dict.get('link', None),
'reversed': as_dict.get('reversed', None),
'levels': as_dict.get('levels', None),
'node_distance': as_dict.get('nodeDistance', None),
'node_width': as_dict.get('nodeWidth', None),
}
return kwargs
def _to_untrimmed_dict(self, in_cls = None) -> dict:
untrimmed = {
'accessibility': self.accessibility,
'allowPointSelect': self.allow_point_select,
'animation': self.animation,
'className': self.class_name,
'clip': self.clip,
'color': self.color,
'cursor': self.cursor,
'custom': self.custom,
'dashStyle': self.dash_style,
'dataLabels': self.data_labels,
'description': self.description,
'enableMouseTracking': self.enable_mouse_tracking,
'events': self.events,
'includeInDataExport': self.include_in_data_export,
'keys': self.keys,
'label': self.label,
'linkedTo': self.linked_to,
'marker': self.marker,
'onPoint': self.on_point,
'opacity': self.opacity,
'point': self.point,
'pointDescriptionFormatter': self.point_description_formatter,
'selected': self.selected,
'showCheckbox': self.show_checkbox,
'showInLegend': self.show_in_legend,
'skipKeyboardNavigation': self.skip_keyboard_navigation,
'states': self.states,
'stickyTracking': self.sticky_tracking,
'threshold': self.threshold,
'tooltip': self.tooltip,
'turboThreshold': self.turbo_threshold,
'visible': self.visible,
'type': self.type,
'animationLimit': self.animation_limit,
'boostBlending': self.boost_blending,
'boostThreshold': self.boost_threshold,
'colorIndex': self.color_index,
'crisp': self.crisp,
'cropThreshold': self.crop_threshold,
'findNearestPointBy': self.find_nearest_point_by,
'getExtremesFromAll': self.get_extremes_from_all,
'relativeXValue': self.relative_x_value,
'softThreshold': self.soft_threshold,
'step': self.step,
'pointInterval': self.point_interval,
'pointIntervalUnit': self.point_interval_unit,
'pointStart': self.point_start,
'stacking': self.stacking,
'allowTraversingTree': self.allow_traversing_tree,
'collapseButton': self.collapse_button,
'colorByPoint': self.color_by_point,
'fillSpace': self.fill_space,
'link': self.link,
'reversed': self.reversed,
'levels': self.levels,
'nodeDistance': self.node_distance,
'nodeWidth': self.node_width,
}
return untrimmed