Source code for

from typing import Optional, List
from decimal import Decimal

from validator_collection import validators, checkers

from highcharts_core import constants, errors
from highcharts_core.decorators import class_sensitive
from import DataBase
from import DataPointCollection
from highcharts_core.options.plot_options.drag_drop import DragDropOptions
from highcharts_core.utility_classes.data_labels import DataLabel

[docs]class VennData(DataBase): """Data point used to render an area within a Venn Diagram.""" def __init__(self, **kwargs): self._data_labels = None self._drag_drop = None self._drilldown = None self._sets = None self._value = None self.data_labels = kwargs.get('data_labels', None) self.drag_drop = kwargs.get('drag_drop', None) self.drilldown = kwargs.get('drilldown', None) self.sets = kwargs.get('sets', None) self.value = kwargs.get('value', None) super().__init__(**kwargs) @property def data_labels(self) -> Optional[DataLabel]: """Individual data label for the data point. :rtype: :class:`DataLabel` or :obj:`None <python:None>` """ return self._data_labels @data_labels.setter @class_sensitive(DataLabel) def data_labels(self, value): self._data_labels = value @property def drag_drop(self) -> Optional[DragDropOptions]: """The draggable-points module allows points to be moved around or modified in the chart. In addition to the options mentioned under the dragDrop API structure, the module fires three (JavaScript) events: * ``point.dragStart`` * ``point.drag`` * ``point.drop`` :rtype: :class:`DragDropOptions` or :obj:`None <python:None>` """ return self._drag_drop @drag_drop.setter @class_sensitive(DragDropOptions) def drag_drop(self, value): self._drag_drop = value @property def drilldown(self) -> Optional[str]: """The :meth:`id <>` of a series in the ``drilldown.series`` array to use as a drilldown destination for this point. Defaults to :obj:`None <python:None>`. :rtype: :class:`str <python:str>` or :obj:`None <python:None>` """ return self._drilldown @drilldown.setter def drilldown(self, value): self._drilldown = validators.string(value, allow_empty = True) @property def sets(self) -> Optional[List[str]]: """The set or sets the options will be applied to. Defaults to :obj:`None <python:None>`. If a single entry is defined, then it will create a new set. If more than one entry is defined, then it will define the overlap between the sets in the array. :rtype: :class:`list <python:list>` of :class:`str <python:str>` """ return self._sets @sets.setter def sets(self, value): if not value: self._sets = None else: if checkers.is_iterable(value): self._sets = [validators.string(x) for x in value] else: self._sets = [validators.string(value)] @property def value(self) -> Optional[int | float | Decimal]: """The value of the point, resulting in a relative area of the circle, or area of overlap between two sets in the venn or euler diagram. Defaults to :obj:`None <python:None>`. :rtype: numeric or :obj:`None <python:None>` """ return self._value @value.setter def value(self, value_): self._value = validators.numeric(value_, allow_empty = True)
[docs] @classmethod def from_list(cls, value): if not value: return [] elif checkers.is_string(value): try: value = validators.json(value) except (ValueError, TypeError): pass elif not checkers.is_iterable(value): value = [value] collection = [] for item in value: if checkers.is_type(item, 'VennData'): as_obj = item elif checkers.is_dict(item): as_obj = cls.from_dict(item) elif item is None or isinstance(item, constants.EnforcedNullType): as_obj = cls() else: raise errors.HighchartsValueError(f'each data point supplied must either ' f'be a Venn Data Point or be ' f'coercable to one. Could not coerce: ' f'{item}') collection.append(as_obj) return collection
@classmethod def _get_supported_dimensions(cls) -> List[int]: """Returns a list of the supported dimensions for the data point. :rtype: :class:`list <python:list>` of :class:`int <python:int>` """ return [1]
[docs] @classmethod def from_ndarray(cls, value): """Creates a collection of data points from a `NumPy <>`__ :class:`ndarray <numpy:ndarray>` instance. :returns: A collection of data point values. :rtype: :class:`DataPointCollection <>` """ return VennDataCollection.from_ndarray(value)
@classmethod def _get_kwargs_from_dict(cls, as_dict): """Convenience method which returns the keyword arguments used to initialize the class from a Highcharts Javascript-compatible :class:`dict <python:dict>` object. :param as_dict: The HighCharts JS compatible :class:`dict <python:dict>` representation of the object. :type as_dict: :class:`dict <python:dict>` :returns: The keyword arguments that would be used to initialize an instance. :rtype: :class:`dict <python:dict>` """ kwargs = { 'accessibility': as_dict.get('accessibility', None), 'class_name': as_dict.get('className', None), 'color': as_dict.get('color', None), 'color_index': as_dict.get('colorIndex', None), 'custom': as_dict.get('custom', None), 'description': as_dict.get('description', None), 'events': as_dict.get('events', None), 'id': as_dict.get('id', None), 'label_rank': as_dict.get('labelrank', None), 'name': as_dict.get('name', None), 'selected': as_dict.get('selected', None), 'data_labels': as_dict.get('dataLabels', None), 'drag_drop': as_dict.get('dragDrop', None), 'drilldown': as_dict.get('drilldown', None), 'sets': as_dict.get('sets', None), 'value': as_dict.get('value', None), } return kwargs def _to_untrimmed_dict(self, in_cls = None) -> dict: untrimmed = { 'dataLabels': self.data_labels, 'dragDrop': self.drag_drop, 'drilldown': self.drilldown, 'sets': self.sets, 'value': self.value, 'accessibility': self.accessibility, 'className': self.class_name, 'color': self.color, 'colorIndex': self.color_index, 'custom': self.custom, 'description': self.description, 'events':, 'id':, 'labelrank': self.label_rank, 'name':, 'selected': self.selected, } return untrimmed
[docs]class VennDataCollection(DataPointCollection): """A collection of :class:`VennData` objects. .. note:: When serializing to JS literals, if possible, the collection is serialized to a primitive array to boost performance within Python *and* JavaScript. However, this may not always be possible if data points have non-array-compliant properties configured (e.g. adjusting their style, names, identifiers, etc.). If serializing to a primitive array is not possible, the results are serialized as JS literal objects. """ @classmethod def _get_data_point_class(cls): """The Python class to use as the underlying data point within the Collection. :rtype: class object """ return VennData