from typing import Optional, List
from highcharts_core.options.series.base import SeriesBase
from highcharts_core.options.series.data.cartesian import Cartesian3DData
from highcharts_core.options.plot_options.bubble import BubbleOptions
from highcharts_core.utility_functions import mro__to_untrimmed_dict
[docs]class BubbleSeries(SeriesBase, BubbleOptions):
"""Options to configure a Bubble series.
A bubble series is a three dimensional series type where each point renders an X,
Y, and Z value. Each points is drawn as a bubble where the position along the X
and Y axes mark the X and Y values, and the size of the bubble relates to the Z
value.
.. figure:: ../../../_static/bubble-example.png
:alt: Bubble Example Chart
:align: center
"""
def __init__(self, **kwargs):
super().__init__(**kwargs)
@property
def data(self) -> Optional[List[Cartesian3DData]]:
"""Collection of data that represents the series. Defaults to
:obj:`None <python:None>`.
While the series type returns a collection of :class:`Cartesian3DData` instances,
it accepts as input three different types of data:
.. tabs::
.. tab:: 2D Collection
.. code-block::
series = BubbleSeries()
series.data = [
[0, 2],
[5, 1],
[3, 7],
[5, 1]
]
A two-dimensional collection of numerical values, where the dimensions
correspond to the ``y`` and ``z`` values, respectively. This structure
automatically infers the ``x`` value, such that if
:meth:`BubbleSeries.point_start` is :obj:`None <python:None>`, ``x`` values
will begin at ``0``. Otherwise, they will start at ``point_start``.
If :meth:`BubbleSeries.point_interval` is :obj:`None <python:None>`, ``x``
values will be incremented by ``1``. Otherwise, they will be incremented
by the value of ``point_interval``.
.. tab:: 3D Collection
.. code-block::
series = BubbleSeries()
# Category X-axis
series.data = [
['Category A', 0, 2],
['Category B', 5, 1],
['Category C', 3, 7],
['Category D', 5, 1]
]
# Numerical X-axis
series.data = [
[9, 0, 2],
[1, 5, 1],
[2, 3, 7],
[7, 5, 1]
]
A three-dimensional collection of values. Each member of the collection will
be interpreted as an ``x``, ``y``, and ``z`` value respectively. The ``x``
value can be a :class:`str <python:str>`,
:class:`date <python:datetime.date>`,
:class:`datetime <python:datetime.datetime>`, or numeric value.
.. note::
If the ``x`` value is a :class:`str <python:str>`, it will be interpreted
as the name of the data point.
.. tab:: Object Collection
A one-dimensional collection of :class:`Cartesian3DData` objects.
:rtype: :class:`list <python:list>` of :class:`Cartesian3DData` or
:obj:`None <python:None>`
"""
return self._data
@data.setter
def data(self, value):
if not value:
self._data = None
else:
self._data = Cartesian3DData.from_array(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),
'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),
'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_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),
'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),
'linecap': as_dict.get('linecap', None),
'line_width': as_dict.get('lineWidth', None),
'negative_color': as_dict.get('negativeColor', None),
'point_interval': as_dict.get('pointInterval', None),
'point_interval_unit': as_dict.get('pointIntervalUnit', 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),
'data': as_dict.get('data', None),
'id': as_dict.get('id', None),
'index': as_dict.get('index', None),
'legend_index': as_dict.get('legendIndex', None),
'name': as_dict.get('name', None),
'stack': as_dict.get('stack', None),
'x_axis': as_dict.get('xAxis', None),
'y_axis': as_dict.get('yAxis', None),
'z_index': as_dict.get('zIndex', None),
'display_negative': as_dict.get('displayNegative', None),
'jitter': as_dict.get('jitter', None),
'max_size': as_dict.get('maxSize', None),
'min_size': as_dict.get('minSize', None),
'size_by': as_dict.get('sizeBy', None),
'size_by_absolute_value': as_dict.get('sizeByAbsoluteValue', None),
'z_max': as_dict.get('zMax', None),
'z_min': as_dict.get('zMin', None),
'z_threshold': as_dict.get('zThreshold', None),
}
return kwargs
def _to_untrimmed_dict(self, in_cls = None) -> dict:
untrimmed = mro__to_untrimmed_dict(self, in_cls = in_cls)
return untrimmed