ax = fig.add_subplot(111)
if opts.title:
ax.set_title(r'{\Huge %s}' % (opts.title))
ax.set_xlabel(r'{\huge Seed-Type}')
ax.set_ylabel(r'{\huge FDR$_{C_{a}}$}')
ax.set_xticklabels([x.replace('_','\_') for x in header])
vectors = []
for x in header:
if bag[x]:
vectors.append(bag[x])
else:
vectors.append(0)
violin_plot(ax,vectors,range(len(header)), bp=opts.box_plot)
setTickSizes(ax,19)
if opts.out_file:
pl.savefig(opts.out_file)
if not opts.no_show:
pl.show()
print "Done"
yAxis1 = 'miRNAs'
#yAxis2 = 'Proportion of Total'
fig = pl.figure()
ax1 = fig.add_subplot(111)
pl.ylim(0,40)
#ax2 = ax1.twinx()
ax1.set_title(title)
ax1.set_xlabel(xAxis,fontsize='xx-large')
ax1.set_ylabel(yAxis1,fontsize='xx-large')
#ax2.set_ylabel(yAxis2)
n,b,p = ax1.hist(data,bins=20, range=None, normed=0,
weights=None, cumulative=1, bottom=None,
histtype='stepfilled', align='mid', orientation='vertical',
rwidth=None, log=False,alpha=1)
#eightyPcnt = round(n[-1]*0.8)
#pl.axhspan(eightyPcnt, eightyPcnt, xmin=0, xmax=1, color='red')
#ax2.hist(data, bins=50, range=None, normed=1,
#weights=None, cumulative=1, bottom=None,
#histtype='stepfilled', align='mid', orientation='vertical',
#rwidth=None, log=False, alpha=0.5, facecolor='blue')
pl.xlim(0,max(data))
setTickSizes(ax1,18)
pl.savefig(saveAs)
pl.show()