Source code for exovetter.modshift.plotmodshift

# -*- coding: utf-8 -*-
"""Functions used in plotting the results of the modshift calculation."""

import numpy as np

__all__ = ['plot_modshift', 'mark_events', 'mark_false_alarm_threshold']


[docs] def plot_modshift(phase, period_days, flux, model, conv, results): """Plot modshift results.""" import matplotlib.pyplot as plt srt = np.argsort(phase) phase = np.concatenate((phase[srt] - period_days, phase[srt])) flux = np.concatenate((flux[srt], flux[srt])) model = np.concatenate((model[srt], model[srt])) conv = np.concatenate((conv, conv)) plt.figure(figsize=(8, 8)) ax = plt.subplot(211) plt.plot(phase, 1e3 * flux, "k.") plt.plot(phase, 1e3 * model, "r-", label="Model") plt.ylabel("Flux (ppk)") plt.legend() plt.subplot(212, sharex=ax) #plt.subplot(212) x = np.linspace(-1 * period_days, period_days, len(conv)) # * np.max(phase) # Remove conversion to time plt.plot(x, conv, "b.", label="convolution") mark_events(results) mark_false_alarm_threshold(results) plt.legend()
[docs] def mark_events(results): """Mark events.""" import matplotlib.pyplot as plt r = results plt.axvline( r["phase_pri"], ls="--", color="g", label=r"Primary %.1f$\sigma$" % (r["sigma_pri"]), ) plt.axvline( r["phase_sec"], ls="--", color="orange", label=r"Secondary %.1f$\sigma$" % (r["sigma_sec"]), ) plt.axvline( r["phase_ter"], ls="--", color="m", label=r"Tertiary %.1f$\sigma$" % (r["sigma_ter"]), ) plt.axvline( r["phase_pos"], ls="--", color="c", label=r"Positive %.1f$\sigma$" % (r["sigma_pos"]), )
[docs] def mark_false_alarm_threshold(results): """Mark false alarm threshold.""" import matplotlib.pyplot as plt plt.axhline( -results["false_alarm_threshold"], ls=":", color="indigo", label="False Alarm Threshold", ) plt.axhline( results["false_alarm_threshold"], ls=":", color="indigo", )
def _plot_convolution(phase, flux, bphase, conv): """Debugging plot for `compute_convolution_for_binned_data`""" import matplotlib.pyplot as plt plt.clf() plt.subplot(311) plt.plot(phase, flux, "ko") plt.subplot(312) plt.plot(conv, "b.-") plt.subplot(313) plt.plot(bphase, conv, "b.-") plt.pause(0.1)