from typing import Optional, List
from highcharts_core.options.series.funnel import FunnelSeries
from highcharts_core.options.series.pie import PieSeries
from highcharts_core.options.plot_options.pyramid import PyramidOptions, Pyramid3DOptions
from highcharts_core.options.series.data.single_point import SinglePointData, SinglePointDataCollection
from highcharts_core.utility_functions import mro__to_untrimmed_dict, is_ndarray
[docs]class PyramidSeries(FunnelSeries, PyramidOptions):
"""Options to configure a Pyramid series.
A pyramid series is a special type of funnel, without neck and reversed by
default.
.. figure:: ../../../_static/pyramid-example.png
:alt: Pyramid Example Chart
:align: center
"""
pass
[docs]class Pyramid3DSeries(PyramidOptions, PieSeries):
"""Options to configure a Pyramid 3D series.
A pyramid 3d series is a special type of funnel, without neck and reversed by
default.
.. figure:: ../../../_static/pyramid_3d-example.png
:alt: Pyramid 3D Example Chart
:align: center
"""
def __init__(self, **kwargs):
self._gradient_for_sides = None
self.gradient_for_sides = kwargs.get('gradient_for_sides', None)
super().__init__(**kwargs)
@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 SinglePointDataCollection
@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 SinglePointData
@property
def data(self) -> Optional[List[SinglePointData] | SinglePointDataCollection]:
"""Collection of data that represents the series. Defaults to
:obj:`None <python:None>`.
While the series type returns a collection of :class:`SinglePointData` instances,
it accepts as input three different types of data:
.. tabs::
.. tab:: 1D Collection
.. code-block::
series = FunnelSeries()
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 <SinglePointData.y>` value
.. tab:: Object Collection
A one-dimensional collection of :class:`SinglePointData` objects.
:rtype: :class:`list <python:list>` of :class:`SinglePointData` or
:class:`SinglePointDataCollection` 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 = SinglePointData.from_array(value)
@property
def gradient_for_sides(self) -> Optional[bool]:
"""If ``True``, sides fill is set to a gradient. If ``False``, sides are rendered
with a solid color. Defaults to :obj:`None <python:None>`, which is equivalent to
``True``.
:rtype: :class:`bool <python:bool>` or :obj:`None <python:None>`.
"""
return self._gradient_for_sides
@gradient_for_sides.setter
def gradient_for_sides(self, value):
if value is None:
self._gradient_for_sides = None
else:
self._gradient_for_sides = bool(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),
'border_color': as_dict.get('borderColor', 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),
'height': as_dict.get('height', None),
'neck_height': as_dict.get('neckHeight', None),
'neck_width': as_dict.get('neckWidth', None),
'reversed': as_dict.get('reversed', None),
'width': as_dict.get('width', None),
'gradient_for_sides': as_dict.get('gradientForSides', None),
}
return kwargs
def _to_untrimmed_dict(self, in_cls = None) -> dict:
untrimmed = {
'data': self.data,
'gradientForSides': self.gradient_for_sides,
'colorAxis': self.color_axis,
'colorIndex': self.color_index,
'colorKey': self.color_key,
'linecap': self.linecap
}
parent_as_dict = mro__to_untrimmed_dict(self, in_cls = in_cls)
for key in parent_as_dict:
untrimmed[key] = parent_as_dict[key]
return untrimmed