Source code for highcharts_core.options.series.pictorial

from decimal import Decimal
from typing import Optional, List

from validator_collection import validators

from highcharts_core.options.series.base import SeriesBase
from highcharts_core.options.series.data.cartesian import CartesianData, CartesianDataCollection
from highcharts_core.options.plot_options.pictorial import PictorialOptions
from highcharts_core.utility_functions import mro__to_untrimmed_dict, is_ndarray
from highcharts_core.metaclasses import HighchartsMeta
from highcharts_core.decorators import class_sensitive
from highcharts_core.utility_classes.ast import AttributeObject


[docs]class PictorialPaths(HighchartsMeta): """Configuration of pictorial point images.""" def __init__(self, **kwargs): self._definition = None self._max = None self.definition = kwargs.get('definition', None) self.max = kwargs.get('max', None) @property def definition(self) -> Optional[AttributeObject]: """Defines the path to be drawn, corresponding to the SVG ``d`` attribute. :rtype: :class:`AttributeObject <highcharts_core.utility_classes.ast.AttributeObject>` or :obj:`None <python:None>` """ return self._definition @definition.setter @class_sensitive(AttributeObject) def definition(self, value): self._definition = value @property def max(self) -> Optional[int | float | Decimal]: """Determines height of the image. It is the ratio of ``yAxis.max`` to the ``paths.max``. Defaults to the maximum value of the y-axis. :rtype: numeric or :obj:`None <python:None>` """ return self._max @max.setter def max(self, value): self._max = validators.numeric(value, allow_empty = True) @classmethod def _get_kwargs_from_dict(cls, as_dict): kwargs = { 'definition': as_dict.get('definition', None), 'max': as_dict.get('max', None), } return kwargs def _to_untrimmed_dict(self, in_cls = None) -> dict: untrimmed = { 'definition': self.definition, 'max': self.max } return untrimmed
class PictorialSeries(SeriesBase, PictorialOptions): """Options to configure a Pictorial series. A pictorial series uses vector images to represent the data, with the data's shape determined by the ``path`` parameter. .. figure:: ../../../_static/pictorial-example.png :alt: Pictorial Example Chart :align: center """ def __init__(self, **kwargs): self._paths = None self.paths = kwargs.get('paths', 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 CartesianDataCollection @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 CartesianData @property def data(self) -> Optional[List[CartesianData] | CartesianDataCollection]: """Collection of data that represents the series. Defaults to :obj:`None <python:None>`. While the series type returns a collection of :class:`CartesianData` instances, it accepts as input three different types of data: .. tabs:: .. tab:: 1D Collection .. code-block:: series = PictorialSeries() series.data = [0, 5, 3, 5] A one-dimensional collection of numerical values. Each member of the collection will be interpreted as a ``y``-value, with its corresponding ``x`` value automatically determined. If :meth:`PictorialSeries.point_start` is :obj:`None <python:None>`, ``x`` values will begin at ``0``. Otherwise, they will start at ``point_start``. If :meth:`PictorialSeries.point_interval` is :obj:`None <python:None>`, ``x`` values will be incremented by ``1``. Otherwise, they will be incremented by the value of ``point_interval``. .. tab:: 2D Collection .. code-block:: series = PictorialSeries() # Category X-axis series.data = [ ['Category A', 0], ['Category B', 5], ['Category C', 3], ['Category D', 5] ] # Numerical X-axis series.data = [ [9, 0], [1, 5], [2, 3], [7, 5] ] A two-dimensional collection of values. Each member of the collection will be interpreted as an ``x`` and ``y`` pair. The ``x`` value can be a :class:`str <python:str>`, :class:`date <python:datetime.date>`, :class:`datetime <python:datetime.datetime>`, or numeric value. .. note:: If the ``x`` value is a :class:`str <python:str>`, it will be interpreted as the name of the data point. .. tab:: Object Collection A one-dimensional collection of :class:`CartesianData` objects. :rtype: :class:`list <python:list>` of :class:`CartesianData` or :class:`CartesianDataCollection` 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 = CartesianData.from_array(value) @property def paths(self) -> Optional[PictorialPaths]: """Configuration of the point image. :rtype: :class:`PictorialPaths <highcharts_core.options.series.pictorial.PictorialPaths>` or :obj:`None <python:None>` """ return self._paths @paths.setter @class_sensitive(PictorialPaths) def paths(self, value): self._paths = 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_index': as_dict.get('colorIndex', None), 'color_key': as_dict.get('colorKey', 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), '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), 'relative_x_value': as_dict.get('relativeXValue', None), 'shadow': as_dict.get('shadow', None), 'soft_threshold': as_dict.get('softThreshold', None), 'step': as_dict.get('step', None), 'zone_axis': as_dict.get('zoneAxis', None), 'zones': as_dict.get('zones', None), 'color_axis': as_dict.get('colorAxis', None), 'connect_ends': as_dict.get('connectEnds', None), 'drag_drop': as_dict.get('dragDrop', 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), 'stacking': as_dict.get('stacking', None), 'depth': as_dict.get('depth', None), 'edge_color': as_dict.get('edgeColor', None), 'edge_width': as_dict.get('edgeWidth', None), 'grouping': as_dict.get('grouping', None), 'group_padding': as_dict.get('groupPadding', None), 'group_z_padding': as_dict.get('groupZPadding', None), 'max_point_width': as_dict.get('maxPointWidth', None), 'min_point_length': as_dict.get('minPointLength', None), 'point_padding': as_dict.get('pointPadding', None), 'point_range': as_dict.get('pointRange', None), 'point_width': as_dict.get('pointWidth', 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), 'paths': as_dict.get('paths', None), } return kwargs def _to_untrimmed_dict(self, in_cls = None) -> dict: untrimmed = { 'paths': self.paths } 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