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