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 WordcloudData(DataBase): """Data point that features a single and ``y`` value.""" def __init__(self, **kwargs): self._data_labels = None self._drag_drop = None self._weight = None self.data_labels = kwargs.get('data_labels', None) self.drag_drop = kwargs.get('drag_drop', None) self.weight = kwargs.get('weight', 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 weight(self) -> Optional[int | float | Decimal]: """The weighting of a word. Defaults to :obj:`None <python:None>`. .. note:: The weight decides the relative size of a word compared to the rest of the collection. :rtype: numeric or :obj:`None <python:None>` """ return self._weight @weight.setter def weight(self, value): self._weight = 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, 'WordcloudData'): 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 Wordcloud 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 WordcloudData.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), 'weight': as_dict.get('weight', None), } return kwargs def _to_untrimmed_dict(self, in_cls = None) -> dict: untrimmed = { 'dataLabels': self.data_labels, 'dragDrop': self.drag_drop, 'weight': self.weight, '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 WordcloudDataCollection(DataPointCollection): """A collection of :class:`WordcloudData` 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 WordcloudData