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plot.py
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plot.py
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# -*- coding: utf-8 -*-
# Copyright (C) Scott Coughlin (2017-)
#
# This file is part of gravityspy.
#
# gravityspy is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# gravityspy is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with gravityspy. If not, see <http://www.gnu.org/licenses/>.
"""Plotting tool for gravityspy
"""
from matplotlib import use
use('agg')
from matplotlib import pyplot
from matplotlib.ticker import ScalarFormatter
from mpl_toolkits.axes_grid1 import make_axes_locatable
from gwpy.plot import Plot
import numpy
def plot_qtransform(specsgrams, plot_normalized_energy_range, plot_time_ranges,
detector_name, start_time, **kwargs):
"""Fetch raw data around a glitch
Parameters:
specsgrams (list):
A list of `gwpy.spectrogram.Spectrogram` objects
plot_normalized_energy_range (array):
The min and max of the colorbar for the plots
plot_time_ranges (array):
The duration assosciated with each plot to be made
detector_name (str):
What detetor where these spectrograms from
start_time (float):
What was the start time of the data used for these spectrograms
this effects what the plot title is (ER10 O1 O2 etc)
Returns:
ind_fig_all
A list of individual spectrogram plots
super_fig
A single `plot` object contianing all spectrograms
"""
frange = kwargs.pop('frange', [10, 2048])
# Set some plotting params
myfontsize = 15
mylabelfontsize = 20
my_color = 'k'
if detector_name == 'H1':
title = "Hanford"
elif detector_name == 'L1':
title = "Livingston"
elif detector_name == 'V1':
title = "VIRGO"
else:
raise ValueError('You have supplied a detector '
'that is unknown at this time.')
if start_time < 1126400000:
title = title + ' - pre O1'
elif 1126400000 < start_time < 1137250000:
title = title + ' - O1'
elif 1161907217 < start_time < 1164499217:
title = title + ' - ER10'
elif start_time > 1164499217:
title = title + ' - O2a'
else:
raise ValueError('Time outside science or engineering run '
'or more likely code not updated to reflect '
'new science run.')
ind_fig_all = []
for i, spec in enumerate(specsgrams):
ind_fig = spec.plot(figsize=[8, 6])
ax = ind_fig.gca()
ax.set_position([0.125, 0.1, 0.775, 0.8])
ax.set_yscale('log', basey=2)
ax.set_xscale('linear')
ax.grid(False)
dur = float(plot_time_ranges[i])
xticks = numpy.linspace(spec.xindex.min().value,
spec.xindex.max().value, 5)
xticklabels = []
for itick in numpy.linspace(-dur/2, dur/2, 5):
xticklabels.append(str(itick))
ax.set_xticks(xticks)
ax.set_xticklabels(xticklabels)
ax.set_xlabel('Time (s)', labelpad=0.1, fontsize=mylabelfontsize,
color=my_color)
ax.set_ylabel('Frequency (Hz)', fontsize=mylabelfontsize,
color=my_color)
ax.set_title(title, fontsize=mylabelfontsize, color=my_color)
ax.title.set_position([.5, 1.05])
ax.set_ylim(frange)
ax.yaxis.set_major_formatter(ScalarFormatter())
ax.ticklabel_format(axis='y', style='plain')
pyplot.tick_params(axis='x', which='major', labelsize=myfontsize)
pyplot.tick_params(axis='y', which='major', labelsize=12)
divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size="5%", pad="3%")
cbar = ind_fig.colorbar(cax=cax, cmap='viridis',
label='Normalized energy',
clim=plot_normalized_energy_range)
cbar.ax.tick_params(labelsize=12)
cbar.ax.yaxis.label.set_size(myfontsize)
ind_fig_all.append(ind_fig)
# Create one image containing all spectogram grams
super_fig, axes = pyplot.subplots(nrows=1, ncols=len(specsgrams),
sharey=True,
subplot_kw={'xscale': 'auto-gps'},
figsize=(27, 6), FigureClass=Plot)
count = 0
for iax, spec in zip(axes, specsgrams):
iax.imshow(spec)
iax.set_yscale('log', basey=2)
iax.set_xscale('linear')
xticks = numpy.linspace(spec.xindex.min().value,
spec.xindex.max().value, 5)
dur = float(plot_time_ranges[count])
xticklabels = []
for itick in numpy.linspace(-dur/2, dur/2, 5):
xticklabels.append(str(itick))
iax.set_xticks(xticks)
iax.set_xticklabels(xticklabels)
iax.set_xlabel('Time (s)', labelpad=0.1, fontsize=mylabelfontsize,
color=my_color)
iax.set_ylim(frange)
iax.yaxis.set_major_formatter(ScalarFormatter())
iax.ticklabel_format(axis='y', style='plain')
count = count + 1
divider = make_axes_locatable(iax)
cax = divider.append_axes("right", size="5%", pad="3%")
cbar = super_fig.colorbar(cax=cax, cmap='viridis',
label='Normalized energy',
clim=plot_normalized_energy_range)
super_fig.suptitle(title, fontsize=mylabelfontsize, color=my_color, x=0.51)
return ind_fig_all, super_fig