low,high,nbins=numpy.log10(b['low']), numpy.log10(b['high']), b['nbins']
half_bin=0.5*(high-low)/nbins
bin_edges.append(numpy.logspace(low,high,nbins+1))
bin_centres.append(numpy.logspace(low+half_bin,high-half_bin,nbins))
#start figure
X,Y=numpy.meshgrid(bin_centres[0],bin_centres[1])
figsize = figure_options.get('figsize',[8, 6])
fig=plt.figure(figsize=figsize)
axes_rect = figure_options.get('axes_rect',[0.17, 0.15, 0.77, 0.75])
axes=fig.add_axes(axes_rect)
axes.tick_params(axis='both',which='major',labelsize=20)
xlabel=axes_details[0].get('texname',axes_details[0]['name'])
ylabel=axes_details[1].get('texname',axes_details[1]['name'])
label_fontsize=figure_options.get('label_fontsize',20)
axes.set_xlabel(xlabel,fontsize=label_fontsize)
axes.set_ylabel(ylabel,fontsize=label_fontsize)
axes.set_xlim([binnings[0]['low'],binnings[0]['high']])
axes.set_ylim([binnings[1]['low'],binnings[1]['high']])
if binnings[0]['type'] == 'log':
axes.set_xscale('log')
if binnings[1]['type'] == 'log':
axes.set_yscale('log')
if not figure_options.get('suppress_ticks_from_axes',False):
if axes_details[0].get('xticks',False) and binnings[0]['type']=='linear':
low,high,step=binnings[0]['low'],binnings[0]['high'],axes_details[0]['xticks']
axes.set_xticks(numpy.arange(low,high*1.001,step))
if axes_details[1].get('yticks',False) and binnings[1]['type']=='linear':
low,high,step=binnings[1]['low'],binnings[1]['high'],axes_details[1]['yticks']
axes.set_yticks(numpy.arange(low,high*1.001,step))
text_box_options_list = figure_options.get('text_boxes',False)
if isinstance(text_box_options_list, list):
entries_plot=cw.get_1d_hist(filename,entries_plotname,nxbins)
if layer_options.get('dchi2_mode',False):
#chi2_minimum=cw.get_min_reference(filename)
chi2_minimum = cw.get_1d_minimum(filename,plotname,nxbins)
if chi2_minimum==1e9:
chi2_minimum=layer_options.get('chi2_minimum',numpy.min(plot))
plot=plot-chi2_minimum
color=layer_options.get('color')
linestyle=layer_options.get('linestyle')
linewidth=layer_options.get('linewidth',2)
label = layer_options.get('label')
axes.plot(bin_centres,plot,linewidth=linewidth,c=color,
linestyle=linestyle)
#FIXME: maybe ylim shouldn't be a property of the layer
axes.set_ylim([layer_options.get('ymin',0),layer_options.get('ymax',9)])
axes.set_ylabel(layer_options.get('ylabel',''),fontsize=20)
#FIXME: this is an ugly way to get the 95% CL lower limit out
if figure_options.get('chi2_eq_4_limit'):
f=scipy.interpolate.interp1d(bin_centres,plot)
xnew=numpy.linspace(bin_centres[0],bin_centres[-1],1000)
ynew=f(xnew)
try:
for i in range(999):
if ynew[i]>4 and ynew[i+1]<4:
print('{}:{}'.format(xaxis_details['name'],int(xnew[i+1])))
axes.plot(xnew[i+1],ynew[i+1],'o')
except IndexError:
print('limit not found for {}'.format(xaxis_details['name']))
if not figure_options.get('chi2_eq_4_limit'):
print(figname)
