Source code for highcharts_core.options.series.bubble

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