Source code for highcharts_core.options.series.pie

from typing import Optional, List

from highcharts_core.options.series.base import SeriesBase
from highcharts_core.options.series.data.pie import PieData, VariablePieData
from highcharts_core.options.plot_options.pie import PieOptions
from highcharts_core.utility_functions import mro__to_untrimmed_dict


[docs]class PieSeries(SeriesBase, PieOptions): """Options to configure a Pie series. A pie chart is a circular graphic which is divided into slices to illustrate numerical proportion. .. tabs:: .. tab:: Pie Chart .. figure:: ../../../_static/pie-example.png :alt: Pie Example Chart :align: center .. tab:: Donut Chart .. figure:: ../../../_static/pie-example-donut.png :alt: Donut Example Chart :align: center """ def __init__(self, **kwargs): super().__init__(**kwargs) @property def data(self) -> Optional[List[PieData]]: """Collection of data that represents the series. Defaults to :obj:`None <python:None>`. While the series type returns a collection of :class:`PieData` instances, it accepts as input three different types of data: .. tabs:: .. tab:: 1D Collection .. code-block:: series = PieSeries() series.data = [0, 5, 3, 5] A one-dimensional collection of numerical values. Each member of the collection will be interpreted as a :meth:`y <PieData.y>` value .. tab:: Object Collection A one-dimensional collection of :class:`PieData` objects. :rtype: :class:`list <python:list>` of :class:`PieData` or :obj:`None <python:None>` """ return self._data @data.setter def data(self, value): if not value: self._data = None else: self._data = PieData.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), '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), 'border_color': as_dict.get('borderColor', None), 'border_radius': as_dict.get('borderRadius', None), 'border_width': as_dict.get('borderWidth', None), 'center': as_dict.get('center', None), 'colors': as_dict.get('colors', None), 'depth': as_dict.get('depth', None), 'end_angle': as_dict.get('endAngle', None), 'fill_color': as_dict.get('fillColor', None), 'ignore_hidden_point': as_dict.get('ignoreHiddenPoint', None), 'inner_size': as_dict.get('innerSize', None), 'min_size': as_dict.get('minSize', None), 'size': as_dict.get('size', None), 'sliced_offset': as_dict.get('slicedOffset', None), 'start_angle': as_dict.get('startAngle', None), 'thickness': as_dict.get('thickness', None), } return kwargs def _to_untrimmed_dict(self, in_cls = None) -> dict: untrimmed = mro__to_untrimmed_dict(self, in_cls = in_cls) return untrimmed
[docs]class VariablePieSeries(PieSeries): """Options to apply to a Variable Pie series. A variable pie series is a two dimensional series type, where each point renders an Y and Z value. Each point is drawn as a pie slice where the size (arc) of the slice relates to the Y value and the radius of pie slice relates to the Z value. .. figure:: ../../../_static/variablepie-example.png :alt: Variable Pie Example Chart :align: center """ def __init__(self, **kwargs): self._max_point_size = None self._min_point_size = None self._size_by = None self._z_max = None self._z_min = None self.max_point_size = kwargs.get('max_point_size', None) self.min_point_size = kwargs.get('min_point_size', None) self.size_by = kwargs.get('size_by', None) self.z_max = kwargs.get('z_max', None) self.z_min = kwargs.get('z_min', None) super().__init__(**kwargs) @property def data(self) -> Optional[List[VariablePieData]]: """Collection of data that represents the series. Defaults to :obj:`None <python:None>`. While the series type returns a collection of :class:`VariablePieData` instances, it accepts as input three different types of data: .. tabs:: .. tab:: 2D Collection .. code-block:: series = VariablePieSeries() series.data = [ [40, 75], [50, 50], [60, 40] ] A two-dimensional collection of numerical values. Each member of the collection will be interpreted as a :meth:`y <VariablePieData.y>` and :meth:`z <VariablePieData.z>` respectively. .. tab:: Object Collection A one-dimensional collection of :class:`VariablePieData` objects. :rtype: :class:`list <python:list>` of :class:`VariablePieData` or :obj:`None <python:None>` """ return self._data @data.setter def data(self, value): if not value: self._data = None else: self._data = VariablePieData.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), '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), 'border_color': as_dict.get('borderColor', None), 'border_radius': as_dict.get('borderRadius', None), 'border_width': as_dict.get('borderWidth', None), 'center': as_dict.get('center', None), 'color_axis': as_dict.get('colorAxis', None), 'color_index': as_dict.get('colorIndex', None), 'color_key': as_dict.get('colorKey', None), 'colors': as_dict.get('colors', None), 'depth': as_dict.get('depth', None), 'end_angle': as_dict.get('endAngle', None), 'fill_color': as_dict.get('fillColor', None), 'ignore_hidden_point': as_dict.get('ignoreHiddenPoint', None), 'inner_size': as_dict.get('innerSize', None), 'linecap': as_dict.get('linecap', None), 'min_size': as_dict.get('minSize', None), 'size': as_dict.get('size', None), 'sliced_offset': as_dict.get('slicedOffset', None), 'start_angle': as_dict.get('startAngle', None), 'thickness': as_dict.get('thickness', None), 'max_point_size': as_dict.get('maxPointSize', None), 'min_point_size': as_dict.get('minPointSize', None), 'size_by': as_dict.get('sizeBy', None), 'z_max': as_dict.get('zMax', None), 'z_min': as_dict.get('zMin', None) } return kwargs def _to_untrimmed_dict(self, in_cls = None) -> dict: untrimmed = { 'data': self.data, 'maxPointSize': self.max_point_size, 'minPointSize': self.min_point_size, 'sizeBy': self.size_by, 'zMax': self.z_max, 'zMin': self.z_min } 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