from typing import Optional
from validator_collection import validators
from highcharts_core.options.series.base import SeriesBase
from highcharts_core.options.plot_options.pareto import ParetoOptions
from highcharts_core.utility_functions import mro__to_untrimmed_dict
[docs]class ParetoSeries(SeriesBase, ParetoOptions):
"""Options to configure a Pareto series.
A pareto diagram is a type of chart that contains both bars and a line graph,
where individual values are represented in descending order by bars, and the
cumulative total is represented by the line.
.. figure:: ../../../_static/pareto-example.png
:alt: Pareto Example Chart
:align: center
"""
def __init__(self, **kwargs):
self._base_series = None
self.base_series = kwargs.get('base_series', None)
super().__init__(**kwargs)
@property
def base_series(self) -> Optional[int | str]:
"""An integer identifying the index to use for the base series, or a string
representing the id of the series. Defaults to :obj:`None <python:None>`.
:rtype: :class:`int <python:int>` or :class:`str <python:str>` or
:obj:`None <python:None>`
"""
return self._base_series
@base_series.setter
def base_series(self, value):
if value is None:
self._base_series = None
else:
try:
value = validators.string(value)
except (TypeError, ValueError):
value = validators.integer(value, minimum = 0)
self._base_series = value
@property
def data(self) -> None:
"""The collection of data points for the series. Defaults to
:obj:`None <python:None>`.
.. warning::
All Pareto Series by definition return :obj:`None <python:None>` for their
data. They are a special series, drawn in relationship to the
:meth:`base_series <ParetoSeries.base_series>` specified, and do not receive
independent data points of their own.
:rtype: :obj:`None <python:None>`
"""
return None
@data.setter
def data(self, value):
pass
@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),
'base_series': as_dict.get('baseSeries', None),
}
return kwargs
def _to_untrimmed_dict(self, in_cls = None) -> dict:
untrimmed = {
'baseSeries': self.base_series
}
parent_as_dict = mro__to_untrimmed_dict(self, in_cls = in_cls) or {}
for key in parent_as_dict:
untrimmed[key] = parent_as_dict[key]
return untrimmed