from typing import Optional, List
from highcharts_stock.utility_functions import mro__to_untrimmed_dict
from highcharts_stock.options.series.base import SeriesBase
from highcharts_stock.options.plot_options.hlc import HLCOptions, OHLCOptions
from highcharts_stock.options.series.data.hlc import HLCData, OHLCData
[docs]class HLCSeries(SeriesBase, HLCOptions):
"""General options to apply to all :term:`HLC` series types. An HLC chart is a
style of financial chart used to describe price movements over time.
.. figure:: ../../../_static/hlc-example.png
:alt: HLC Example Chart
:align: center
"""
def __init__(self, **kwargs):
super().__init__(**kwargs)
@property
def data(self) -> Optional[List[HLCData]]:
"""Collection of data that represents the series. Defaults to
:obj:`None <python:None>`.
While the series type returns a collection of :class:`HLCData` instances,
it accepts as input different types of data:
.. tabs::
.. tab:: 6D Collection
.. code-block::
series = HLCSeries()
series.data = [
[1463753252, 7, 2, 0, 4, 12345678],
[1563753252, 1, 4, 2, 8, 2345678],
[1663753252, 3, 3, 9, 3, 3456789]
]
A six-dimensional collection of numerical values representing (in order) the
``x`` value, the ``open`` value, the ``high`` value, the ``low`` value,
the ``close`` value, and a ``volume`` value.
.. tip::
The ``x`` value is always expected to be a timestamp expressed in
milliseconds since 1970. If a :class:`datetime <python:datetime.datetime>`
or coercable is supplied, **Highcharts for Python** will automatically
coerce it to a POSIX timestamp (milliseconds since 1970).
.. tab:: 5D Collection
.. code-block::
series = HLCSeries()
series.data = [
[1463753252, 7, 2, 0, 4],
[1563753252, 1, 4, 2, 8],
[1663753252, 3, 3, 9, 3]
]
A five-dimensional collection of numerical values representing (in order) the
``x`` value, the ``open`` value, the ``high`` value, the ``low`` value, and
the ``close`` value.
.. tip::
The ``x`` value is always expected to be a timestamp expressed in
milliseconds since 1970. If a :class:`datetime <python:datetime.datetime>`
or coercable is supplied, **Highcharts for Python** will automatically
coerce it to a POSIX timestamp (milliseconds since 1970).
.. tab:: 4D Collection
.. code-block::
series = HLCSeries()
series.data = [
[1463753252, 2, 0, 4],
[1563753252, 4, 2, 8],
[1663753252, 3, 9, 3]
]
A four-dimensional collection of numerical values representing (in order) the
``x`` value, the ``high`` value, the ``low`` value, and the ``close`` value.
.. tip::
The ``x`` value is always expected to be a timestamp expressed in
milliseconds since 1970. If a :class:`datetime <python:datetime.datetime>`
or coercable is supplied, **Highcharts for Python** will automatically
coerce it to a POSIX timestamp (milliseconds since 1970).
.. tab:: 3D Collection
.. code-block::
series = HLCSeries()
series.data = [
[2, 0, 4],
[4, 2, 8],
[3, 9, 3]
]
A three-dimensional collection of numerical values. The members represent the
the ``high`` value, the ``low`` value, and the ``close`` value respectively.
.. note::
The ``x`` value in this case will be automatically calculated either
starting from ``0`` and incremented by ``1`` or from
:meth:`.point_start <highcharts_stock.options.series.hlc.HLCSeries.point_start>`
and
:meth:`.point_interval <highcharts_stock.options.series.hlc.HLCSeries.point_interval>`
in the series or plot options.
.. tab:: Object Collection
A one-dimensional collection of :class:`HLCData` objects, or objects
coercable.
:rtype: :class:`list <python:list>` of :class:`HLCData` or
:obj:`None <python:None>`
"""
return self._data
@data.setter
def data(self, value):
if not value:
self._data = None
else:
self._data = HLCData.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),
'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),
'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),
'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),
'zone_axis': as_dict.get('zoneAxis', None),
'zones': as_dict.get('zones', None),
# Commenting out properties that are ignored in HLC charts but which
# are inherited.
# '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),
'compare_start': as_dict.get('compareStart', None),
'cumulative': as_dict.get('cumulative', None),
'data_as_columns': as_dict.get('dataAsColumns', None),
'data_grouping': as_dict.get('dataGrouping', None),
# 'gap_size': as_dict.get('gapSize', None),
# 'gap_unit': as_dict.get('gapUnit', None),
'last_price': as_dict.get('lastPrice', None),
'last_visible_price': as_dict.get('lastVisiblePrice', None),
'compare': as_dict.get('compare', None),
'compare_base': as_dict.get('compareBase', None),
'navigator_options': as_dict.get('navigatorOptions', None),
'show_in_navigator': as_dict.get('showInNavigator', None),
'point_val_key': as_dict.get('pointValKey', None),
'up_line_color': as_dict.get('upLineColor', 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) or {}
return untrimmed
[docs]class OHLCSeries(SeriesBase, OHLCOptions):
"""General options to apply to a :term:`OHLC` series type. An OHLC chart is a
sub-type of :term:`HLC` charts which displays the open, high, low, and close values
of an asset over time.
.. figure:: ../../../_static/ohlc-example.png
:alt: OHLC Example Chart
:align: center
"""
def __init__(self, **kwargs):
super().__init__(**kwargs)
@property
def data(self) -> Optional[List[OHLCData]]:
"""Collection of data that represents the series. Defaults to
:obj:`None <python:None>`.
While the series type returns a collection of :class:`OHLCData` instances,
it accepts as input three different types of data:
.. tabs::
.. tab:: 6D Collection
.. code-block::
series = OHLCSeries()
series.data = [
[1463753252, 7, 2, 0, 4, 12345678],
[1563753252, 1, 4, 2, 8, 2345678],
[1663753252, 3, 3, 9, 3, 3456789]
]
A six-dimensional collection of numerical values representing (in order) the
``x`` value, the ``open`` value, the ``high`` value, the ``low`` value,
the ``close`` value, and a ``volume`` value.
.. tip::
The ``x`` value is always expected to be a timestamp expressed in
milliseconds since 1970. If a :class:`datetime <python:datetime.datetime>`
or coercable is supplied, **Highcharts for Python** will automatically
coerce it to a POSIX timestamp (milliseconds since 1970).
.. tab:: 5D Collection
.. code-block::
series = OHLCSeries()
series.data = [
[1463753252, 7, 2, 0, 4],
[1563753252, 1, 4, 2, 8],
[1663753252, 3, 3, 9, 3]
]
A five-dimensional collection of numerical values representing (in order) the
``x`` value, the ``open`` value, the ``high`` value, the ``low`` value, and
the ``close`` value.
.. tip::
The ``x`` value is always expected to be a timestamp expressed in
milliseconds since 1970. If a :class:`datetime <python:datetime.datetime>`
or coercable is supplied, **Highcharts for Python** will automatically
coerce it to a POSIX timestamp (milliseconds since 1970).
.. tab:: 4D Collection
.. code-block::
series = OHLCSeries()
series.data = [
[7, 2, 0, 4],
[1, 4, 2, 8],
[3, 3, 9, 3]
]
A four-dimensional collection of numerical values. The members represent the
``open`` value, the ``high`` value, the ``low`` value, and the ``close``
value, respectively.
.. note::
The ``x`` value in this case will be automatically calculated either
starting from 0 and incremented by 1 or from
:meth:`.point_start <highcharts_stock.options.series.candlestick.OHLCSeries.point_start>`
and
:meth:`.point_interval <highcharts_stock.options.series.candlestick.OHLCSeries.point_interval>`
in the series or plot options.
.. tab:: Object Collection
A one-dimensional collection of :class:`OHLCData` objects, or objects
coercable.
:rtype: :class:`list <python:list>` of :class:`OHLCData` or
:obj:`None <python:None>`
"""
return self._data
@data.setter
def data(self, value):
if not value:
self._data = None
else:
self._data = OHLCData.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),
'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),
'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),
'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),
'zone_axis': as_dict.get('zoneAxis', None),
'zones': as_dict.get('zones', None),
# Commenting out properties that are ignored in HLC charts but which
# are inherited.
# '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),
'compare_start': as_dict.get('compareStart', None),
'cumulative': as_dict.get('cumulative', None),
'data_as_columns': as_dict.get('dataAsColumns', None),
'data_grouping': as_dict.get('dataGrouping', None),
# 'gap_size': as_dict.get('gapSize', None),
# 'gap_unit': as_dict.get('gapUnit', None),
'last_price': as_dict.get('lastPrice', None),
'last_visible_price': as_dict.get('lastVisiblePrice', None),
'compare': as_dict.get('compare', None),
'compare_base': as_dict.get('compareBase', None),
'navigator_options': as_dict.get('navigatorOptions', None),
'show_in_navigator': as_dict.get('showInNavigator', None),
'point_val_key': as_dict.get('pointValKey', None),
'up_line_color': as_dict.get('upLineColor', 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) or {}
return untrimmed