from typing import Optional, List
from highcharts_maps.decorators import class_sensitive
from highcharts_maps.options.plot_options.mappoint import MapPointOptions
from highcharts_maps.options.series.base import MapSeriesBase
from highcharts_maps.options.series.data.geometric import GeometricLatLonData
from highcharts_maps.utility_functions import mro__to_untrimmed_dict
[docs]class MapPointSeries(MapSeriesBase, MapPointOptions):
""":term:`Map Points <Map Point>` are a special version of a scatter series where the
points are positioned according to geographic coordinates within a map.
.. figure:: ../../../_static/mappoint-example.png
:alt: Map Point Example chart
:align: center
.. tip::
**Best practice!**
This can be very useful for rendering cities or other locations on your map.
"""
def __init__(self, **kwargs):
super().__init__(**kwargs)
@property
def data(self) -> Optional[List[GeometricLatLonData]]:
"""Collection of data that represents the series. Defaults to
:obj:`None <python:None>`.
While the series type returns a collection of :class:`GeometricLatLonData`
instances, it accepts as input three different types of data:
.. tabs::
.. tab:: 1D Collection
.. code-block::
my_series = MapPointSeries()
my_series.data = [0, 5, 3, 5]
A one-dimensional collection of numerical values. Each member of the
collection will be interpreted as a
:meth:`.value <highcharts_maps.options.series.data.geometric.GeometricLatLonData.value>`-value,
corresponding to the index of an area represented in the
:meth:`.map_data <highcharts_maps.options.series.map.MapPointSeries.map_data>`.
.. tab:: 2D Collection
.. code-block::
my_series = MapPointSeries()
my_series.data = [
['us-ny', 0],
['us-mi', 5],
['us-tx', 3],
['us-ak', 5]
]
A two-dimensional collection of values. Each member of the collection will be
interpreted as the
:meth:`.name <highcharts_maps.options.series.data.geometric.GeometricLatLonData.name>` and
:meth:`.y <highcharts_maps.options.series.data.geometric.GeometricLatLonData.y>` pair.
.. warning::
If supplying a 2D collection, it is importnat that the ``name`` value map to
matching map area values in the property indicated by
:meth:`MapPointSeries.join_by <highcharts_maps.options.series.map.MapPointSeries.join_by>`,
which defaults to ``'hc-key'``.
.. tab:: Object Collection
A one-dimensional collection of
:class:`GeometricLatLonData <highcharts_maps.options.series.data.geometric.GeometricLatLonData>`
objects.
:rtype: :class:`list <python:list>` of
:class:`GeometricLatLonData <highcharts_maps.options.series.data.geometric.GeometricLatLonData>`
or :obj:`None <python:None>`
"""
return self._data
@data.setter
@class_sensitive(GeometricLatLonData, force_iterable = True)
def data(self, value):
self._data = 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),
'drag_drop': as_dict.get('dragDrop', None),
'find_nearest_point_by': as_dict.get('findNearestPointBy', None),
'negative_color': as_dict.get('negativeColor', 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),
'map_data': as_dict.get('mapData', None),
'all_areas': as_dict.get('allAreas', None),
'join_by': as_dict.get('joinBy', None),
'cluster': as_dict.get('cluster', None),
'data_as_columns': as_dict.get('dataAsColumns', None),
}
return kwargs
def _to_untrimmed_dict(self, in_cls = None) -> dict:
untrimmed = mro__to_untrimmed_dict(self, in_cls = in_cls)
return untrimmed