Source code for highcharts_stock.options.series.sunburst

from typing import Optional, List

from highcharts_stock.options.series.data.sunburst import SunburstData, SunburstDataCollection
from highcharts_stock.utility_functions import mro__to_untrimmed_dict, is_ndarray

from highcharts_stock.options.series.base import SeriesBase
from highcharts_stock.options.plot_options.sunburst import SunburstOptions


[docs]class SunburstSeries(SeriesBase, SunburstOptions): """Options to configure a Sunburst series. A Sunburst displays hierarchical data, where a level in the hierarchy is represented by a circle. The center represents the root node of the tree. The visualization bears a resemblance to both treemap and pie charts. .. figure:: ../../../_static/sunburst-example.png :alt: Sunburst Example Chart :align: center """ def __init__(self, **kwargs): super().__init__(**kwargs) @property def data(self) -> Optional[List[SunburstData] | SunburstDataCollection]: """Collection of data that represents the series. Defaults to :obj:`None <python:None>`. While the series type returns a collection of :class:`SunburstData` instances, it accepts as input: .. tabs:: .. tab:: Object Collection A one-dimensional collection of :class:`SunburstData` objects or :class:`dict <python:dict>` instances coercable to :class:`SunburstData` :rtype: :class:`list <python:list>` of :class:`SunburstData` or :class:`SunburstDataCollection` or :obj:`None <python:None>` """ return self._data @data.setter def data(self, value): if not is_ndarray(value) and not value: self._data = None else: self._data = SunburstData.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), '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_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), 'inactive_other_points': as_dict.get('inactiveOtherPoints', 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_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), 'allow_traversing_tree': as_dict.get('allowTraversingTree', None), 'border_color': as_dict.get('borderColor', None), 'border_width': as_dict.get('borderWidth', None), 'breadcrumbs': as_dict.get('breadcrumbs', None), 'center': as_dict.get('center', None), 'color_by_point': as_dict.get('colorByPoint', None), 'fill_color': as_dict.get('fillColor', None), 'level_is_constant': as_dict.get('levelIsConstant', None), 'levels': as_dict.get('levels', None), 'level_size': as_dict.get('levelSize', None), 'root_id': as_dict.get('rootId', None), 'size': as_dict.get('size', None), 'sliced_offset': as_dict.get('slicedOffset', None), 'start_angle': as_dict.get('startAngle', None), 'compare_start': as_dict.get('compareStart', None), 'cumulative': as_dict.get('cumulative', None), 'data_as_columns': as_dict.get('dataAsColumns', None), 'data_grouping': as_dict.get('dataGrouping', None), 'gap_size': as_dict.get('gapSize', None), 'gap_unit': as_dict.get('gapUnit', None), 'last_price': as_dict.get('lastPrice', None), 'last_visible_price': as_dict.get('lastVisiblePrice', None), 'compare': as_dict.get('compare', None), 'compare_base': as_dict.get('compareBase', None), 'navigator_options': as_dict.get('navigatorOptions', None), 'point_range': as_dict.get('pointRange', None), 'show_in_navigator': as_dict.get('showInNavigator', None), } return kwargs def _to_untrimmed_dict(self, in_cls = None) -> dict: untrimmed = mro__to_untrimmed_dict(self, in_cls = in_cls) return untrimmed @classmethod def _data_collection_class(cls): """Returns the class object used for the data collection. :rtype: :class:`DataPointCollection <highcharts_core.options.series.data.collections.DataPointCollection>` descendent """ return SunburstDataCollection @classmethod def _data_point_class(cls): """Returns the class object used for individual data points. :rtype: :class:`DataBase <highcharts_core.options.series.data.base.DataBase>` descendent """ return SunburstData