239 lines
8.8 KiB
Python
239 lines
8.8 KiB
Python
# lightcurve.py: Plot class for lightcurves
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#
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# Authors: William Cleveland (USRA),
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# Adam Goldstein (USRA) and
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# Daniel Kocevski (NASA)
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#
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# Portions of the code are Copyright 2020 William Cleveland and
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# Adam Goldstein, Universities Space Research Association
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# All rights reserved.
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#
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# Written for the Fermi Gamma-ray Burst Monitor (Fermi-GBM)
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program. If not, see <https://www.gnu.org/licenses/>.
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#
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from .gbmplot import GbmPlot, Histo, HistoErrorbars, HistoFilled, \
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LightcurveBackground
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from .lib import *
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class Lightcurve(GbmPlot):
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"""Class for plotting lightcurves and lightcurve paraphernalia.
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Parameters:
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data (:class:`~gbm.data.primitives.TimeBins`, optional):
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The lightcurve data to plot
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background (:class:`~gbm.background.BackgroundRates`, optional):
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The background rates to plot
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**kwargs: Options to pass to :class:`~.gbmplot.GbmPlot`
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Attributes:
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ax (:class:`matplotlib.axes`): The matplotlib axes object for the plot
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background (:class:`~.gbmplot.LightcurveBackground`):
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The background plot element
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canvas (Canvas Backend object): The plotting canvas, if set upon
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initialization.
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errorbars (:class:`~.gbmplot.HistoErrorbars`): The error bars plot element
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fig (:class:`matplotlib.figure`): The matplotlib figure object
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lightcurve (:class:`~.gbmplot.Histo`): The lightcurve plot element
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selections (list of :class:`~.gbmplot.HistoFilled`):
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The list of selection plot elements
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xlim (float, float): The plotting range of the x axis.
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This attribute can be set.
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xscale (str): The scale of the x axis, either 'linear' or 'log'.
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This attribute can be set.
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ylim (float, float): The plotting range of the y axis.
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This attribute can be set.
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yscale (str): The scale of the y axis, either 'linear' or 'log'.
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This attribute can be set.
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"""
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def __init__(self, data=None, background=None, canvas=None, axis=None,
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**kwargs):
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super().__init__(canvas=canvas, axis=axis, **kwargs)
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self._lc = None
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self._errorbars = None
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self._bkgd = None
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self._selections = []
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# initialize the plot axes, labels, ticks, and scales
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self._ax.set_xlabel('Time (s)', fontsize=PLOTFONTSIZE)
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self._ax.set_ylabel('Count Rate (count/s)', fontsize=PLOTFONTSIZE)
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self._ax.xaxis.set_tick_params(labelsize=PLOTFONTSIZE)
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self._ax.yaxis.set_tick_params(labelsize=PLOTFONTSIZE)
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self._ax.set_xscale('linear')
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self._ax.set_yscale('linear')
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# plot data and/or background if set on init
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if data is not None:
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self.set_data(data)
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self._ax.set_xlim(data.range)
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self._ax.set_ylim(0.9 * np.min(data.rates),
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1.1 * np.max(data.rates))
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if background is not None:
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self.set_background(background)
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@property
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def lightcurve(self):
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return self._lc
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@property
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def errorbars(self):
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return self._errorbars
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@property
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def background(self):
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return self._bkgd
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@property
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def selections(self):
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return self._selections
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def set_data(self, data, **kwargs):
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"""Set the lightcurve plotting data. If a lightcurve already exists,
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this triggers a replot of the lightcurve.
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Args:
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data (:class:`~gbm.data.primitives.TimeBins`):
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The lightcurve data to plot
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"""
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lc_color, lc_alpha, lc_kwargs = self._lc_settings()
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lc_kwargs.update(kwargs)
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self._lc = Histo(data, self._ax, color=lc_color, alpha=lc_alpha,
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**lc_kwargs)
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eb_color, eb_alpha, eb_kwargs = self._eb_settings()
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self._errorbars = HistoErrorbars(data, self._ax, color=eb_color,
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alpha=eb_alpha, **eb_kwargs)
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def add_selection(self, data):
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"""Add a selection to the plot. This adds a new selection to a list
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of existing selections.
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Args:
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data (:class:`~gbm.data.primitives.TimeBins`):
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The lightcurve data selection to plot
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"""
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color, alpha, kwargs = self._selection_settings()
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select = HistoFilled(data, self._ax, color=color, alpha=alpha,
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**kwargs)
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self._selections.append(select)
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def set_background(self, background):
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"""Set the background plotting data. If a background already exists,
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this triggers a replot of the background.
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Args:
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background (:class:`~gbm.background.BackgroundRates`):
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The background model to plot
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"""
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color, cent_color, err_color, alpha, cent_alpha, err_alpha, \
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kwargs = self._bkgd_settings()
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self._bkgd = LightcurveBackground(background, self._ax, color=color,
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cent_color=cent_color,
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err_color=err_color,
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alpha=alpha, cent_alpha=BKGD_ALPHA,
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err_alpha=BKGD_ERROR_ALPHA,
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zorder=1000)
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def remove_data(self):
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"""Remove the lightcurve from the plot.
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"""
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self._lc.remove()
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self._lc = None
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def remove_errorbars(self):
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"""Remove the lightcurve error bars from the plot.
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"""
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self._errorbars.remove()
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self._errorbars = None
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def remove_background(self):
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"""Remove the background from the plot.
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"""
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self._bkgd.remove()
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self._bkgd = None
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def remove_selections(self):
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"""Remove the selections from the plot.
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"""
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[selection.remove() for selection in self._selections]
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self._selections = []
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def _lc_settings(self):
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"""The default settings for the lightcurve. If a lightcurve already
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exists, use its settings instead.
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"""
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if self._lc is None:
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lc_color = DATA_COLOR
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lc_alpha = None
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lc_kwargs = {}
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else:
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lc_color = self._lc.color
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lc_alpha = self._lc.alpha
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lc_kwargs = self._lc._kwargs
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return (lc_color, lc_alpha, lc_kwargs)
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def _eb_settings(self):
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"""The default settings for the errorbars. If a lightcurve already
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exists, use its errorbars settings instead.
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"""
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if self._errorbars is None:
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eb_color = DATA_ERROR_COLOR
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eb_alpha = None
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eb_kwargs = {}
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else:
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eb_color = self._errorbars.color
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eb_alpha = self._errorbars.alpha
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eb_kwargs = self._errorbars._kwargs
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return (eb_color, eb_alpha, eb_kwargs)
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def _bkgd_settings(self):
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"""The default settings for the background. If a background already
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exists, use its settings instead.
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"""
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if self._bkgd is None:
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color = BKGD_COLOR
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cent_color = None
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err_color = None
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alpha = None
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cent_alpha = BKGD_ALPHA
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err_alpha = BKGD_ERROR_ALPHA
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kwargs = {'linewidth': BKGD_WIDTH}
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else:
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color = self._bkgd.color
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cent_color = self._bkgd.cent_color
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err_color = self._bkgd.err_color
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alpha = self._bkgd.alpha
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cent_alpha = self._bkgd.cent_alpha
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err_alpha = self._bkgd.err_alpha
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kwargs = self._bkgd._kwargs
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return color, cent_color, err_color, alpha, cent_alpha, err_alpha, kwargs
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def _selection_settings(self):
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"""The default settings for a selection. If a selection already
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exists, use its settings instead.
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"""
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if len(self._selections) == 0:
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color = DATA_SELECTED_COLOR
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alpha = DATA_SELECTED_ALPHA
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kwargs = {}
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else:
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color = self._selections[0].color
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alpha = self._selections[0].alpha
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kwargs = self._selections[0]._kwargs
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return color, alpha, kwargs
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