def multiplotter(outfile, config, cout=None):
"""
A coroutine for plotting a bunch of motifs on the same page. A
useful entry point for scripts that want to do something similar
to cplotpitch, but with control over which motifs get plotted.
"""
matplotlib.use('PDF')
from matplotlib.backends.backend_pdf import PdfPages as multipdf
from matplotlib.pyplot import close as close_figure
from ..version import version
from ..common.graphics import axgriditer
from ..common.signal import spectrogram
def gridfun(**kwargs):
from matplotlib.pyplot import subplots
return subplots(_nrows,_ncols,sharex=True,sharey=True, figsize=_figsize)
def figfun(fig):
ax = fig.axes[0]
ax.set_xticklabels('')
ax.set_yticklabels('')
fig.subplots_adjust(left=0.05, right=0.95, wspace=0)
pp.savefig(fig)
close_figure(fig)
# set up plotting
pp = multipdf(outfile)
axg = axgriditer(gridfun, figfun)
spectrogram = spectrogram(configfile=config)
plt = plotter(configfile=config)
filt = postfilter.pitchfilter(configfile=config)
print >> cout, filt.options_str()
try:
# first call to yield won't return anything
ax = None
while 1:
# receives filename from caller and returns last axes
basename = yield ax
ax = axg.next()
print "** %s" % basename
signal,Fs,t,p = load_data(basename, filt)
spec,extent = spectrogram.dbspect(signal,Fs)
plt.plot_spectrogram(ax, spec, extent)
if t is not None:
plt.plot_trace(ax, t,p)
# loop will break when caller sends stop()
finally:
axg.close()
pp.close()
def __init__(self, filename):
from matplotlib.backends.backend_pdf import PdfPages as multipdf
""" Open a new PDF file for output with name @param filename """
self.filename = filename
self.handle = multipdf(filename)
def __init__(self, filename):
from matplotlib.backends.backend_pdf import PdfPages as multipdf
""" Open a new PDF file for output with name @param filename """
self.filename = filename
self.handle = multipdf(filename)