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 highcharts_core.options.series.data.base import DataBase
from highcharts_core.options.series.data.collections 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 <https://numpy.org>`__
:class:`ndarray <numpy:ndarray>` instance.
:returns: A collection of data point values.
:rtype: :class:`DataPointCollection <highcharts_core.options.series.data.collections.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': self.events,
'id': self.id,
'labelrank': self.label_rank,
'name': self.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