from typing import Optional, List
from highcharts_core.options.series.bar import BarSeries
from highcharts_core.options.series.data.bullet import BulletData, BulletDataCollection
from highcharts_core.options.plot_options.bullet import BulletOptions
from highcharts_core.utility_functions import mro__to_untrimmed_dict, is_ndarray
[docs]class BulletSeries(BarSeries, BulletOptions):
"""Options to configure a Bullet series.
A bullet graph is a variation of a bar graph. The bullet graph features a single
measure, compares it to a target, and displays it in the context of qualitative
ranges of performance that could be set using :meth:`YAxis.plot_bands`.
.. figure:: ../../../_static/bullet-example.png
:alt: Bullet Example Chart
:align: center
"""
def __init__(self, **kwargs):
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 BulletDataCollection
@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 BulletData
@property
def data(self) -> Optional[List[BulletData] | BulletDataCollection]:
"""Collection of data that represents the series. Defaults to
:obj:`None <python:None>`.
While the series type returns a collection of :class:`BarData` instances,
it accepts as input different types of data:
.. tabs::
.. tab:: 3D Collection
.. code-block::
series = BulletSeries()
# Numerical X-axis
series.data = [
[0, 40, 75],
[1, 50, 50],
[2, 60, 40]
]
# Categorical X-axis
series.data = [
['Category A', 40, 75],
['Category B', 50, 50],
['Category C', 60, 40]
]
A three-dimensional collection of values. Each member corresponds to the
:meth:`x <BulletData.x>`, :meth:`y <BulletData.y>`, and
:meth:`target <BulletData.target>` values, respectively. 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::
series = BulletSeries()
series.data = [
[40, 75],
[50, 50],
[60, 40]
]
A two-dimensional collection of numerical values. Each member of the
collection will be interpreted as the :meth:`y <BulletData.y>` and
:meth:`target <BulletData.target>` values, respectively. The
:meth:`x <BulletData.x>` value will be inferred according to the following
rules:
If :meth:`BulletSeries.point_start` is :obj:`None <python:None>`, ``x``
values will begin at ``0``. Otherwise, they will start at ``point_start``.
If :meth:`BulletSeries.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:`BulletData` objects.
:rtype: :class:`list <python:list>` of :class:`BulletData` or
:class:`BulletDataCollection` 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 = BulletData.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),
'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_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),
'inactive_other_points': as_dict.get('inactiveOtherPoints', 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),
'border_color': as_dict.get('borderColor', None),
'border_radius': as_dict.get('borderRadius', None),
'border_width': as_dict.get('borderWidth', None),
'center_in_category': as_dict.get('centerInCategory', None),
'color_by_point': as_dict.get('colorByPoint', None),
'colors': as_dict.get('colors', None),
'grouping': as_dict.get('grouping', None),
'group_padding': as_dict.get('groupPadding', 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),
'depth': as_dict.get('depth', None),
'edge_color': as_dict.get('edgeColor', None),
'edge_width': as_dict.get('edgeWidth', None),
'group_z_padding': as_dict.get('groupZPadding', 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),
'target_options': as_dict.get('targetOptions', None),
}
return kwargs
def _to_untrimmed_dict(self, in_cls = None) -> dict:
untrimmed = mro__to_untrimmed_dict(self, in_cls = in_cls)
return untrimmed