def plot2dsig_old(r, dsig1, dsig1err, dsig2, dsig2err, **keys):
"""
Plot delta sigma and a second delta sigma in two plots the second of which
is linear.
Parameters
----------
show: bool, optional
Show plot in a window, default True
range1: [min,max]
The y range of the delta sigma plot
range2: [min,max]
The y range of the ortho-delta sigma plot
range2var: [min,max]
The x range over which to calculate a osig variance
and determine a plot range. This is overridden by
range2
plot_label: string, optional
a label for the top plot
# label1,label2 go in a key in the bottom plot
label1: string, optional
a label for the first dsig
label2: string, optional
a label for the second dsig
"""
show = keys.get('show',True)
range1 = keys.get('range1',None)
range2 = keys.get('range2',None)
# this over-rides
range4var = keys.get('range4var',None)
if range2 is None:
if range4var is not None:
w=where1( (r >= range4var[0]) & (r <= range4var[1]))
if w.size == 0:
raise ValueError("no points in range [%d,%d]" % tuple(range4var))
sdev = dsig2[w].std()
else:
sdev = dsig2.std()
range2 = [-3.5*sdev, 3.5*sdev]
print 'range2:',range2
label = keys.get('plot_label',None)
label1 = keys.get('label1',None)
label2 = keys.get('label2',None)
# for overplotting
dsig1_p = Points(r, dsig1, color='red')
dsig1err_p = SymErrY(r, dsig1, dsig1err, color='red')
dsig1_p.label=label1
dsig2_p = Points(r, dsig1, color='red')
dsig2err_p = SymErrY(r, dsig1, dsig1err, color='black')
dsig2_p.label=label1
arr = FramedArray(2,1)
arr.aspect_ratio=2
arr.xlabel = labels['rproj']
arr.ylabel = labels['dsig']
eu.plotting.bscatter(r, dsig1, yerr=dsig1err,
xlog=True, ylog=True,
yrange=range1,
show=False,
plt=arr[0,0],
**keys)
if label is not None:
arr[0,0].add(PlotLabel(0.9,0.9,label,halign='right'))
pdict=eu.plotting.bscatter(r, dsig2, yerr=dsig2err,
xlog=True,
yrange=range2,
label=label2,
show=False,
dict=True,
plt=arr[1,0],
**keys)
c=Curve([1.e-5,1.e5],[0,0], type='solid')
arr[1,0].add(c)
arr[1,0].add(dsig1_p,dsig1err_p)
if label1 is not None or label2 is not None:
key = PlotKey(0.9,0.9, [dsig1_p,pdict['p']], halign='right')
arr[1,0].add(key)
if show:
arr.show()
return arr
def plot2dsig(r1, dsig1, dsig1err, r2, dsig2, dsig2err, **keys):
"""
Plot delta sigma and a second delta sigma in two plots the second of which
is linear.
Parameters
----------
show: bool, optional
Show plot in a window, default True
yrange1: [min,max]
The y range of the delta sigma plot
yrange2: [min,max]
The y range of the ortho-delta sigma plot
range4var: [min,max]
The x range over which to calculate a osig variance
and determine a plot range. This is overridden by
range2
plot_label: string, optional
a label for the top plot
# label1,label2 go in a key in the bottom plot
label1: string, optional
a label for the first dsig
label2: string, optional
a label for the second dsig
"""
color2 = 'red'
ptype1='filled circle'
size1=1.5
ptype2='filled circle'
size2=1.5
xmul = keys.get('xmul',1.)
show = keys.get('show',True)
yrange1 = keys.get('yrange1',None)
yrange2 = keys.get('yrange2',None)
isortho = keys.get('ortho',False)
# this is a y-log plot, use more powerful range determination
print dsig1
print dsig1err
yrange1 = eu.plotting.get_log_plot_range(dsig1, err=dsig1err,
input_range=yrange1)
rr=numpy.concatenate((r1,r2))
xrng = eu.plotting.get_log_plot_range(rr)
# this over-rides
range4var = keys.get('range4var',None)
if yrange2 is None:
if range4var is not None:
w=where1( (r2 >= range4var[0]) & (r2 <= range4var[1]))
if w.size == 0:
raise ValueError("no points in range [%d,%d]" % tuple(range4var))
sdev = dsig2[w].std()
else:
sdev = dsig2.std()
yrange2 = [-3.5*sdev, 3.5*sdev]
label = keys.get('plot_label',None)
label1 = keys.get('label1',None)
label2 = keys.get('label2',None)
# The points and zero curve
dsig1_p = Points(r1, dsig1, color='black', type=ptype1, size=size1)
dsig1err_p = SymErrY(r1, dsig1, dsig1err, color='black')
dsig1_p.label=label1
dsig2_p = Points(r2*xmul, dsig2, color=color2, type=ptype2, size=size2)
dsig2err_p = SymErrY(r2*xmul, dsig2, dsig2err, color=color2)
dsig2_p.label=label2
c=Curve([1.e-5,1.e5],[0,0], type='solid')
arr = FramedArray(2,1)
arr.cellspacing=1
arr.aspect_ratio=2
arr.xlabel = labels['rproj']
if isortho:
arr.ylabel = labels['osig']
else:
arr.ylabel = labels['dsig']
arr.xrange = xrng
arr[0,0].yrange = yrange1
arr[0,0].xlog=True
arr[0,0].ylog=True
# biggles chokes if you give it negative data for a log plot
arr[0,0].add(dsig1_p, dsig2_p)
eu.plotting.add_log_error_bars(arr[0,0],'y',r1,dsig1,dsig1err,yrange1)
eu.plotting.add_log_error_bars(arr[0,0],'y',r2,dsig2,dsig2err,yrange1,color=color2)
if label is not None:
arr[0,0].add(PlotLabel(0.9,0.9,label,halign='right'))
arr[1,0].yrange = yrange2
arr[1,0].xlog=True
arr[1,0].add(c)
arr[1,0].add(dsig1_p, dsig1err_p, dsig2_p, dsig2err_p)
if label1 is not None or label2 is not None:
key = PlotKey(0.9,0.15, [dsig1_p,dsig2_p], halign='right')
arr[1,0].add(key)
if show:
arr.show()
return arr
def plot_detrend(self, data, e1dt, e2dt, w, camcol, rmag_min, rmag_max,
coeffs, show=False):
"""
Make a table of plots.
"""
band=self.band
d=self.plotdir()
f = 'rg-%(run)s%(band)s-meane-vs-R-%(rmag_max)0.2f-%(camcol)s-detrend.eps'
f = f % {'run':self.procrun,'band':self.band,
'rmag_max':rmag_max,'camcol':camcol}
epsfile=path_join(d,'bycamcol',f)
# one column for each type (R,e1psf,e2psf)
tab=Table(1,3)
gratio=1.61803399
#tab.aspect_ratio = 1/gratio
tab.aspect_ratio = 1./2.
weights = 1.0/(0.32**2 + data['uncer_rg_'+band][w]**2)
nperbin = 200000
# trends vs R
print("\n* R")
xmin=0.29
xmax=1.01
if band=='r':
ymin = -0.03
ymax = 0.03
else:
ymin = -0.03
ymax = 0.06
pe1,pe1err,pe2,pe2err,ph,t1,t2 = \
self.make_plot_components(data['R_rg_'+band][w],
data['e1_rg_'+band][w],
data['e2_rg_'+band][w],
weights, nperbin, ymin, ymax,
fmin=xmin,fmax=xmax,
coeffs=coeffs)
pe1dt,pe1dterr,pe2dt,pe2dterr,phdt = \
self.make_plot_components(data['R_rg_'+band][w],
e1dt[w],
e2dt[w],
weights, nperbin, ymin, ymax,
fmin=xmin,fmax=xmax)
# one row for before and after detrend
Ra=FramedArray(2,1)
Ra.xrange = [xmin,xmax]
Ra.yrange = [ymin,ymax]
Ra.xlabel = 'R'
Ra.ylabel = '<e>'
rmag_lab = \
PlotLabel(0.1,0.07,'%0.2f < rmag < %0.2f' % (rmag_min,rmag_max),
halign='left')
cflab = PlotLabel(0.1,0.15,
'camcol: %s filter: %s' % (camcol, self.band),
halign='left')
key = PlotKey(0.1,0.9, [pe1,pe2])
keydt = PlotKey(0.1,0.9, [pe1dt,pe2dt])
Rz=Curve([xmin,xmax],[0,0])
Ra[0,0].add( Rz,pe1,pe1err,pe2,pe2err,ph,t1,t2,key)
Ra[1,0].add( Rz,pe1dt,pe1dterr,pe2dt,pe2dterr,phdt,keydt,rmag_lab,cflab)
if show:
Ra.show()
tab[0,0] = Ra
# trends vs e1 psf
print("\n* e1_psf")
xmin = -0.275
xmax = 0.275
#ymin = -0.015
#ymax = 0.015
pe1psf_e1,pe1psf_e1err,pe1psf_e2,pe1psf_e2err,pe1psf_ph = \
self.make_plot_components(data['e1_psf_'+band][w],
data['e1_rg_'+band][w],
data['e2_rg_'+band][w],
weights, nperbin, ymin, ymax,
fmin=xmin,fmax=xmax)
pe1psf_e1_dt,pe1psf_e1_dterr,pe1psf_e2_dt,pe1psf_e2_dterr,pe1psf_ph_dt = \
self.make_plot_components(data['e1_psf_'+band][w],
e1dt[w],
e2dt[w],
weights, nperbin, ymin, ymax,
fmin=xmin,fmax=xmax)
# one row for before and after detrend
e1psf_a=FramedArray(2,1)
e1psf_a.xrange = [xmin,xmax]
e1psf_a.yrange = [ymin,ymax]
e1psf_a.xlabel = r'$e1_{PSF}$'
#e1psf_a.ylabel = '<e>'
e1psf_key = PlotKey(0.1,0.9, [pe1psf_e1,pe1psf_e2])
e1psf_keydt = PlotKey(0.1,0.9, [pe1psf_e1_dt,pe1psf_e2_dt])
e1psf_z=Curve([xmin,xmax],[0,0])
e1psf_a[0,0].add(e1psf_z,
pe1psf_e1,pe1psf_e1err,
pe1psf_e2, pe1psf_e2err,
pe1psf_ph, e1psf_key)
e1psf_a[1,0].add(e1psf_z,
pe1psf_e1_dt, pe1psf_e1_dterr,
pe1psf_e2_dt, pe1psf_e2_dterr,
pe1psf_ph_dt,
e1psf_keydt)
if show:
e1psf_a.show()
tab[0,1] = e1psf_a
# trends vs e2 psf
print("\n* e2_psf")
pe2psf_e1,pe2psf_e1err,pe2psf_e2,pe2psf_e2err,pe2psf_ph = \
self.make_plot_components(data['e2_psf_'+band][w],
data['e1_rg_'+band][w],
data['e2_rg_'+band][w],
weights, nperbin, ymin, ymax,
fmin=xmin,fmax=xmax)
pe2psf_e1_dt,pe2psf_e1_dterr,pe2psf_e2_dt,pe2psf_e2_dterr,pe2psf_ph_dt = \
self.make_plot_components(data['e2_psf_'+band][w],
e1dt[w],
e2dt[w],
weights, nperbin, ymin, ymax,
fmin=xmin,fmax=xmax)
# one row for before and after detrend
e2psf_a=FramedArray(2,1)
e2psf_a.xrange = [xmin,xmax]
e2psf_a.yrange = [ymin,ymax]
e2psf_a.xlabel = r'$e2_{PSF}$'
#e2psf_a.ylabel = '<e>'
e2psf_key = PlotKey(0.1,0.9, [pe2psf_e1,pe2psf_e2])
e2psf_keydt = PlotKey(0.1,0.9, [pe2psf_e1_dt,pe2psf_e2_dt])
e2psf_z=Curve([xmin,xmax],[0,0])
e2psf_a[0,0].add(e2psf_z,
pe2psf_e1, pe2psf_e1err,
pe2psf_e2, pe2psf_e2err,
pe2psf_ph, e2psf_key)
e2psf_a[1,0].add(e2psf_z,
pe2psf_e1_dt, pe2psf_e1_dterr,
pe2psf_e2_dt, pe2psf_e2_dterr,
pe2psf_ph_dt,
e2psf_keydt)
if show:
e2psf_a.show()
tab[0,2] = e2psf_a
if show:
tab.show()
tab.write_eps(epsfile)
converter.convert(epsfile, dpi=150, verbose=True)