Source code for qf_lib.plotting.decorators.cone_decorator

#     Copyright 2016-present CERN – European Organization for Nuclear Research
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from datetime import datetime
from typing import Union, Sequence

from qf_lib.common.utils.confidence_interval.analytical_cone import AnalyticalCone
from qf_lib.containers.series.prices_series import PricesSeries, QFSeries
from qf_lib.plotting.charts.chart import Chart
from qf_lib.plotting.decorators.chart_decorator import ChartDecorator


[docs]class ConeDecorator(ChartDecorator): """ Puts cone on top of the timeseries starting from given date. Parameters ---------- series: QFSeries series that is going to be decorated by the cone live_start_date: datetime start date of the cone cone_stds: Sequence[Union[float, int], float, int defines the size of the cones in standard deviations colors_alpha: float sets the level of transparency of the cone key: str see ChartDecorator.key.__init__#key """ def __init__(self, series: QFSeries, live_start_date: datetime, cone_stds: Union[Sequence[Union[float, int]], float, int] = (1, 2), colors_alpha: float = 0.25, key: str = None): super().__init__(key) self._live_start_date = live_start_date assert isinstance(series, PricesSeries), f"Cone can only work with PricesSeries. {type(series)} is not supported" self.series = series if isinstance(cone_stds, (float, int)): cone_stds = [cone_stds] assert cone_stds, "cone_stds can't be empty" self._cone_stds = cone_stds self._colors_alpha = colors_alpha
[docs] def decorate(self, chart: "Chart") -> None: prices_tms = self.series cone = AnalyticalCone(prices_tms) ax = chart.axes colors = Chart.get_axes_colors() mean_tms = cone.calculate_simple_cone(self._live_start_date, 0) ax.plot(mean_tms, color=colors[1]) for cone_std in self._cone_stds: upper_bound_tms = cone.calculate_simple_cone(self._live_start_date, cone_std) lower_bound_tms = cone.calculate_simple_cone(self._live_start_date, -cone_std) ax.fill_between(upper_bound_tms.index, upper_bound_tms, lower_bound_tms, alpha=self._colors_alpha)