from decimal import Decimal
from typing import Optional
from validator_collection import validators
from highcharts_core import constants
from highcharts_core.options.plot_options.series import SeriesOptions
[docs]class PictorialOptions(SeriesOptions):
"""General options to apply to all Pictorial series types.
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._depth = None
self._edge_color = None
self._edge_width = None
self._grouping = None
self._group_padding = None
self._group_z_padding = None
self._max_point_width = None
self._min_point_length = None
self._point_range = None
self.depth = kwargs.get('depth', None)
self.edge_color = kwargs.get('edge_color', None)
self.edge_width = kwargs.get('edge_width', None)
self.grouping = kwargs.get('grouping', None)
self.group_padding = kwargs.get('group_padding', None)
self.group_z_padding = kwargs.get('group_z_padding', None)
self.max_point_width = kwargs.get('max_point_width', None)
self.min_point_length = kwargs.get('min_point_length', None)
self.point_padding = kwargs.get('point_padding', None)
self.point_range = kwargs.get('point_range', None)
self.point_width = kwargs.get('point_width', None)
super().__init__(**kwargs)
@property
def depth(self) -> Optional[int | float | Decimal]:
"""Depth of the columns in a 3D column chart. Defaults to ``25``.
:rtype: numeric or :obj:`None <python:None>`
"""
return self._depth
@depth.setter
def depth(self, value):
self._depth = validators.numeric(value,
allow_empty = True,
minimum = 0)
@property
def edge_color(self) -> Optional[str]:
"""The color of the edges when rendering 3D columns. Defaults to
:obj:`None <python:None>`.
Similar to :meth:`border_color <BarOptions.border_color>`, except it defaults to
the same color as the column if set to :obj:`None <python:None>`.
:rtype: :class:`str <python:str>` or :obj:`None <python:None>`
"""
return self._edge_color
@edge_color.setter
def edge_color(self, value):
self._edge_color = validators.string(value, allow_empty = True)
@property
def edge_width(self) -> Optional[int | float | Decimal]:
"""The width of the colored edges applied to a 3D column. Defaults to ``1``.
:rtype: numeric or :obj:`None <python:None>`
"""
return self._edge_width
@edge_width.setter
def edge_width(self, value):
self._edge_width = validators.numeric(value,
allow_empty = True,
minimum = 0)
@property
def grouping(self) -> Optional[bool]:
"""If ``True``, groups non-stacked columns. If ``False``, renders them
independent of each other. Non-grouped columns will be laid out individually and
overlap each other.
Defaults to ``True``.
:rtype: :class:`bool <python:bool>` or :obj:`None <python:None>`
"""
return self._grouping
@grouping.setter
def grouping(self, value):
if value is None:
self._grouping = None
else:
self._grouping = bool(value)
@property
def group_padding(self) -> Optional[int | float | Decimal]:
"""Padding between each value group, in x axis units. Defaults to ``0.2``.
:rtype: numeric or :obj:`None <python:None>`
"""
return self._group_padding
@group_padding.setter
def group_padding(self, value):
self._group_padding = validators.numeric(value,
allow_empty = True,
minimum = 0)
@property
def group_z_padding(self) -> Optional[int | float | Decimal]:
"""Spacing between columns along the Z axis in a 3D chart. Defaults to ``1``.
:rtype: numeric or :obj:`None <python:None>`
"""
return self._group_z_padding
@group_z_padding.setter
def group_z_padding(self, value):
self._group_z_padding = validators.numeric(value,
allow_empty = True,
minimum = 0)
@property
def max_point_width(self) -> Optional[int | float | Decimal]:
"""The maximum allowed pixel width for a column. This prevents the image from
becoming too wide when there is a small number of points in the chart. Defaults
to :obj:`None <python:None>`.
:rtype: numeric or :obj:`None <python:None>`
"""
return self._max_point_width
@max_point_width.setter
def max_point_width(self, value):
self._max_point_width = validators.numeric(value,
allow_empty = True,
minimum = 0)
@property
def min_point_length(self) -> Optional[int | float | Decimal]:
"""The minimal height for a column or width for a data point. Defaults to
:obj:`None <python:None>`.
By default, ``0`` values are not shown. To visualize a ``0`` (or close to zero)
point, set the minimal point length to a pixel value like ``3``.
:rtype: numeric or :obj:`None <python:None>`
"""
return self._min_point_length
@min_point_length.setter
def min_point_length(self, value):
self._min_point_length = validators.numeric(value,
allow_empty = True,
minimum = 0)
@property
def point_padding(self) -> Optional[int | float | Decimal]:
"""Padding between each column or bar, in x axis units. Defaults to ``0.1``.
:rtype: numeric or :obj:`None <python:None>`
"""
return self._point_padding
@point_padding.setter
def point_padding(self, value):
self._point_padding = validators.numeric(value,
allow_empty = True,
minimum = 0)
@property
def point_range(self) -> Optional[constants.EnforcedNullType | int | float | Decimal]:
"""The X axis range that each point is valid for, which determines the width of
the column. Defaults to ``EnforcedNull``, which computes the range automatically.
On a categorized axis, the range will be ``1`` by default (one category unit). On
linear and datetime axes, the range will be computed as the distance between the
two closest data points.
The default ``EnforcedNull`` means it is computed automatically, but the setting
can be used to override the default value.
.. note::
If :meth:`data_sorting <BarOptions.data_sorting>` is enabled, the default value
is implicitly adjusted to ``1``.
:rtype: numeric or :class:`EnforcedNullType` or :obj:`None <python:None>`
"""
return self._point_range
@point_range.setter
def point_range(self, value):
if isinstance(value, constants.EnforcedNullType):
self._point_range = constants.EnforcedNull
else:
self._point_range = validators.numeric(value, allow_empty = True)
@property
def point_width(self) -> Optional[int | float | Decimal]:
"""A pixel value specifying a fixed width for each point. When set
to :obj:`None <python:None>`, the width is calculated from the
:meth:`point_padding <PictorialOptions.point_padding>` and
:meth:`group_padding <PictorialOptions.group_padding>`. Defaults to
:obj:`None <python:None>`.
:rtype: numeric or :obj:`None <python:None>`
"""
return self._point_width
@point_width.setter
def point_width(self, value):
self._point_width = validators.numeric(value,
allow_empty = True,
minimum = 0)
@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),
'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),
'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_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),
}
return kwargs
def _to_untrimmed_dict(self, in_cls = None) -> dict:
untrimmed = {
'depth': self.depth,
'edgeColor': self.edge_color,
'edgeWidth': self.edge_width,
'grouping': self.grouping,
'groupPadding': self.group_padding,
'groupZPadding': self.group_z_padding,
'maxPointWidth': self.max_point_width,
'minPointLength': self.min_point_length,
'pointPadding': self.point_padding,
'pointRange': self.point_range,
'pointWidth': self.point_width,
}
parent_as_dict = super()._to_untrimmed_dict(in_cls = in_cls)
for key in parent_as_dict:
untrimmed[key] = parent_as_dict[key]
return untrimmed