Source code for highcharts_core.options.series.area

from typing import Optional, List

from highcharts_core.options.series.base import SeriesBase
from highcharts_core.options.series.data.cartesian import CartesianData
from highcharts_core.options.series.data.range import RangeData
from highcharts_core.options.plot_options.area import AreaOptions
from highcharts_core.utility_functions import mro__to_untrimmed_dict


[docs]class AreaSeries(SeriesBase, AreaOptions): """Options for a specific Area series. .. figure:: ../../../_static/area-example.png :alt: Area Example Chart :align: center """ def __init__(self, **kwargs): super().__init__(**kwargs) @property def data(self) -> Optional[List[CartesianData]]: """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:: area_series = AreaSeries() area_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:`AreaSeries.point_start` is :obj:`None <python:None>`, ``x`` values will begin at ``0``. Otherwise, they will start at ``point_start``. If :meth:`AreaSeries.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:: area_series = AreaSeries() # Category X-axis area_series.data = [ ['Category A', 0], ['Category B', 5], ['Category C', 3], ['Category D', 5] ] # Numerical X-axis area_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 :obj:`None <python:None>` """ return self._data @data.setter def data(self, value): if not value: self._data = None else: self._data = CartesianData.from_array(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), '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), 'fill_color': as_dict.get('fillColor', None), 'fill_opacity': as_dict.get('fillOpacity', 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_color': as_dict.get('lineColor', None), 'line_width': as_dict.get('lineWidth', None), 'negative_color': as_dict.get('negativeColor', None), 'negative_fill_color': as_dict.get('negativeFillColor', 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), 'track_by_area': as_dict.get('trackByArea', 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), } return kwargs def _to_untrimmed_dict(self, in_cls = None) -> dict: untrimmed = mro__to_untrimmed_dict(self, in_cls = in_cls) return untrimmed
[docs]class AreaRangeSeries(AreaSeries): """Options to apply to an AreaRange series. The area range series is a carteseian series with higher and lower values for each point along an X axis, where the area between the values is shaded. .. figure:: ../../../_static/arearange-example.png :alt: AreaRange Example Chart :align: center """ @property def data(self) -> Optional[List[RangeData]]: """Collection of data that represents the series. Defaults to :obj:`None <python:None>`. While the series type returns a collection of :class:`RangeData` instances, it accepts as input two different types of data: .. tabs:: .. tab:: 3D Collection .. code-block:: area_range_series = AreaRangeSeries() # Category X-axis area_range_series.data = [ ['Category A', 8, 3], ['Category B', 1, 1], ['Category C', 6, 8] ] # Numerical X-axis area_range_series.data = [ [0, 8, 3], [1, 1, 1], [2, 6, 8] ] A three-dimensional collection of numerical values. Each member of the collection will be interpreted as an ``x`` value, a ``low`` value, and a ``high`` value. 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:: 2D Collection .. code-block:: area_range_series = AreaRangeSeries() area_series.data = [ [8, 3], [1, 1], [6, 8] ] A two-dimensional collection of values. Each member of the collection will be interpreted as an ``low`` and ``high`` value. The ``x`` values are automatically inferred: If :meth:`AreaSeries.point_start` is :obj:`None <python:None>`, ``x`` values will begin at ``0``. Otherwise, they will start at ``point_start``. If :meth:`AreaSeries.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:: Object Collection A one-dimensional collection of :class:`RangeData` objects. :rtype: :class:`list <python:list>` of :class:`RangeData` or :obj:`None <python:None>` """ return self._data @data.setter def data(self, value): if not value: self._data = None else: self._data = RangeData.from_array(value)
[docs]class AreaSplineSeries(AreaSeries): """Options to apply to an AreaSpline series. The area spline series is an area series where the graph between the points is smoothed into a spline. .. figure:: ../../../_static/areaspline-example.png :alt: AreaSpline Example Chart :align: center """ pass
[docs]class AreaSplineRangeSeries(AreaRangeSeries): """Options to apply to an AreaSplineRange series. The area spline range series is a carteseian series type with higher and lower Y values along an X axis. The area inside the range is colored, and the graph outlining the area is a smoothed spline.""" pass
[docs]class LineSeries(AreaSeries): """Options to apply to a Line series. A line series displays information as a series of data points connected by straight line segments. .. figure:: ../../../_static/line-example.png :alt: Line Example Chart :align: center """ pass
[docs]class StreamGraphSeries(AreaSeries): """Options to apply to a Stream Graph series. A streamgraph is a type of stacked area graph which is displaced around a central axis, resulting in a flowing, organic shape. .. figure:: ../../../_static/streamgraph-example.png :alt: StreamGraph Example Chart :align: center """ pass