def histo1_old(beam,col,xrange=None,yrange=None,nbins=50,nolost=0,ref=0,write=0,title='HISTO1',xtitle=None,ytitle=None,calfwhm=0,noplot=0):
'''
Plot the histogram of a column, simply counting the rays, or weighting with the intensity.
It returns a ShadowTools.Histo1_Ticket which contains the histogram data, and the figure.
Inumpy.ts:
beam : str instance with the name of the shadow file to be loaded, or a Shadow.Beam initialized instance.
col : int for the chosen column.
Optional Inumpy.ts:
xrange : tuple or list of length 2 describing the interval of interest for x, the data read from the chosen column.
yrange : tuple or list of length 2 describing the interval of interest for y, counts or intensity depending on ref.
nbins : number of bins of the histogram.
nolost :
0 All rays
1 Only good rays
2 Only lost rays
ref :
0 only count the rays
1 weight with intensity (look at 23 |E|^2 total intensity)
write :
0 don't write any file
1 write the histogram into the file 'HISTO1'.
title : title of the figure, it will appear on top of the window.
xtitle : label for the x axis.
ytitle : label for the y axis.
calfwhm :
0 don't compute the fwhm
1 compute the fwhm
noplot :
0 plot the histogram
1 don't plot the histogram
orientation :
'vertical' x axis for data, y for intensity
'horizontal' y axis for data, x for intensity
plotxy :
0 standalone version
1 to use within plotxy
Outputs:
ShadowTools.Histo1_Ticket instance.
Error:
if an error occurs an ArgsError is raised.
Possible choice for col are:
1 X spatial coordinate [user's unit]
2 Y spatial coordinate [user's unit]
3 Z spatial coordinate [user's unit]
4 X' direction or divergence [rads]
5 Y' direction or divergence [rads]
6 Z' direction or divergence [rads]
7 X component of the electromagnetic vector (s-polariz)
8 Y component of the electromagnetic vector (s-polariz)
9 Z component of the electromagnetic vector (s-polariz)
10 Lost ray flag
11 Energy [eV]
12 Ray index
13 Optical path length
14 Phase (s-polarization)
15 Phase (p-polarization)
16 X component of the electromagnetic vector (p-polariz)
17 Y component of the electromagnetic vector (p-polariz)
18 Z component of the electromagnetic vector (p-polariz)
19 Wavelength [A]
20 R= SQRT(X^2+Y^2+Z^2)
21 angle from Y axis
22 the magnituse of the Electromagnetic vector
23 |E|^2 (total intensity)
24 total intensity for s-polarization
25 total intensity for p-polarization
26 K = 2 pi / lambda [A^-1]
27 K = 2 pi / lambda * col4 [A^-1]
28 K = 2 pi / lambda * col5 [A^-1]
29 K = 2 pi / lambda * col6 [A^-1]
30 S0-stokes = |Es|^2 + |Ep|^2
31 S1-stokes = |Es|^2 - |Ep|^2
32 S2-stokes = 2 |Es| |Ep| cos(phase_s-phase_p)
33 S3-stokes = 2 |Es| |Ep| sin(phase_s-phase_p)
'''
try: stp.Histo1_CheckArg(beam,col,xrange,yrange,nbins,nolost,ref,write,title,xtitle,ytitle,calfwhm,noplot)
except stp.ArgsError as e: raise e
col=col-1
if ref==1: ref = 23
#plot_nicc.ioff()
plt.ioff()
figure = plt.figure()
axHist = figure.add_axes([0.1,0.1,0.8,0.8])
if ytitle!=None:
ytitlesave=ytitle
else:
ytitlesave=None
if ref==0:
x, a = getshcol(beam,(col+1,10))
w = numpy.ones(len(x))
else:
x, a, w = getshcol(beam,(col+1,10,ref))
if nolost==0:
t = numpy.where(a!=-3299)
ytitle = 'All rays'
if nolost==1:
t = numpy.where(a==1.0)
ytitle = 'Good rays'
if nolost==2:
t = numpy.where(a!=1.0)
ytitle = 'Lost rays'
if len(t[0])==0:
print ("no rays match the selection, the histogram will not be plotted")
return
if ref==0:
ytitle = 'counts ' + ytitle
h,bins,patches = axHist.hist(x[t],bins=nbins,range=xrange,histtype='step',alpha=0.5)
if yrange==None: yrange = [0.0, numpy.max(h)]
hw=h
if ref>=22:
ytitle = (stp.getLabel(ref-1))[0] + ' ' + ytitle
h,bins = numpy.histogram(x[t],range=xrange,bins=nbins)
hw,bins,patches = axHist.hist(x[t],range=xrange, bins=nbins,histtype='step',alpha=0.5,weights=w[t])
if yrange==None: yrange = [0.0, numpy.max(hw)]
fwhm = None
if calfwhm==1:
fwhm, tf, ti = stp.calcFWHM(hw,bins[1]-bins[0])
axHist.plot([bins[ti],bins[tf+1]],[max(h)*0.5,max(h)*0.5],'x-')
print ("fwhm = %g" % fwhm)
if write==1: stp.Histo1_write(title,bins,h,hw,col,beam,ref-1)
if xtitle==None: xtitle=(stp.getLabel(col))[0]
axHist.set_xlabel(xtitle)
if ytitlesave!=None:
axHist.set_ylabel(ytitlesave)
else:
axHist.set_ylabel(ytitle)
if title!=None: axHist.set_title(title)
if xrange!=None: axHist.set_xlim(xrange)
if yrange!=None: axHist.set_ylim(yrange)
if noplot==0:
plt.show()
ticket = Histo1_Ticket()
ticket.histogram = hw
ticket.bin_center = bins[:-1]+(bins[1]-bins[0])*0.5
ticket.bin_left = bins[:-1]
ticket.figure = figure
ticket.xrange = xrange
ticket.yrange = yrange
ticket.xtitle = xtitle
ticket.ytitle = ytitle
ticket.title = title
ticket.fwhm = fwhm
ticket.intensity = w[t].sum()
return ticket