def example5():
data = numpy.random.normal(loc=0.2, scale=1.2, size=1000)
x = numpy.linspace(-3.5, 3.5, 30)
y = numpy.exp( - 0.5*(x-0.1)**2 )
key=graph.key.key(pos='tl')
g = graph.graphxy(
width=8,
x=axis.lin(title=r'$score$'),
y=axis.lin(min=0, max=1.1),
key=key,
)
d = graph.data.values(
x=x,
y=y,
title='data',
)
lineattrs=[colors('blue')]
styles=[
graph.style.histogram(lineattrs=lineattrs,steps=1),
]
g.plot(d, styles=styles)
g.writePDFfile("example5.pdf")
g.writeGSfile("example5.png")
def example4():
g = graph.graphxy(
width=8,
x=axis.lin(title=r'$x_1$'),
y=axis.lin(min=-1,max=1.5,title=r'$y_1$'),
)
g.plot(
graph.data.function("y(x)=2*exp(-30*x)-exp(-3*x)",
min=0, max=1),
)
insetparams = dict(
#height = width*float(image.shape[0])/image.shape[1]
labeldist=0.2,
labelattrs=[text.size.footnotesize],
)
p=axis.painter.regular(**insetparams)
gi = graph.graphxy(
width=3,
x=axis.lin(min=0, max=2, painter=p),
y=axis.lin(painter=p),
)
gi.plot(graph.data.function("y(x)=cos(20*x)*exp(-2*x)",
min=0,max=2))
x, y = g.vpos(0.9, 0.9)
g.insert(gi, [trafo.translate(x-gi.bbox().right(), y-gi.bbox().top())])
g.writePDFfile("example4.pdf")
def test_basic():
# can define by hex string or rgb value, normalized to 1
#yellow=color.rgbfromhexstring('#FFFF00')
yellow=color.rgb(r=1.0, g=1.0, b=0.0)
# need to specify one or both of width, height
#key=graph.key.key(pos="br", dist=0.1)
key=graph.key.key(pos='tl')
g = graph.graphxy(
width=8,
height=8,
key=key,
x=axis.lin(title=r"$x$-axis"),
y=axis.lin(title=r"$y$-axis"),
)
# either provide lists of the individual coordinates
factor=1.2343
x=list(range(10))
y=[factor*xx**2 for xx in x]
values=graph.data.values(x=x, y=y,title='points')
symbol1=graph.style.symbol(
#symbol=graph.style._circlesymbol,
symbol=graph.style.symbol.circle,
symbolattrs=[deco.filled([yellow])],
)
symbol2=graph.style.symbol(
#symbol=graph.style._circlesymbol,
symbol=graph.style.symbol.circle,
symbolattrs=[color.rgb.red],
)
g.plot(values,[symbol1,symbol2])
# or provide one list containing the whole points
#values2=graph.data.points(list(zip(range(10), range(10))), x=1, y=2)
#g.plot(values2)
# also a function
c=graph.data.function(
"y(x)=%g * x**2" % factor,
min=0, max=9,
title=r'$y=x^2$'
)
g.plot(c)
g.writeEPSfile("points-and-line")
g.writePDFfile("points-and-line")
def plot_c(x, corr, err_corr, nocorr, err_nocorr, ymin, ymax, xaxis):
ylabel=r'$c~[10^{-4}]$'
yaxis=axis.lin(min=ymin,max=ymax,title=ylabel,density=2)
ypos=0.0
key=None
c,g = doplot_full(x,corr,err_corr,nocorr,err_nocorr,xaxis,yaxis,ypos,key)
return c,g
def example3():
"""
0,0 is bottom left in pyx land, but it is more common for
"first" to be upper left
"""
c = canvas.canvas()
g1 = graph.graphxy(
width=8,
x=axis.lin(title=r'$x_1$'),
y=axis.lin(title=r'$y_1$'),
)
g1.plot(
[graph.data.function("y(x)=0", min=0, max=1),
graph.data.function("y(x)=2*exp(-30*x)-exp(-3*x)", min=0, max=1)],
)
c.insert(g1)
g2 = graph.graphxy(
width=8,
ypos=g1.height+1.5,
x=axis.lin(title=r'$x_2$'),
y=axis.lin(title=r'$y_2$'),
)
c.insert(g2)
g2.plot(graph.data.function("y(x)=cos(20*x)*exp(-2*x)",min=0,max=2))
g3 = graph.graphxy(
width=8,
ypos=g1.height+1.5,
xpos=g1.width+2.0,
x=axis.lin(title=r'$x_3$'),
y=axis.lin(title=r'$y_3$'),
)
g3.plot(graph.data.function("y(x)=cos(20*x)*exp(-2*x)",min=0,max=2))
c.insert(g3)
g4 = graph.graphxy(
width=8,
#ypos=g1.height,
xpos=g1.width+2.0,
x=axis.lin(title=r'$x_4$'),
y=axis.lin(title=r'$y_4$'),
)
g4.plot(graph.data.function("y(x)=cos(20*x)*exp(-2*x)",min=0,max=2))
c.insert(g4)
c.writePDFfile("example3.pdf")
c.writeGSfile("example3.png")
def plot_m(x, corr, err_corr, nocorr, err_nocorr, ymin, ymax, cplt):
xaxis=graph.axis.linkedaxis(cplt.axes["x"])
ylabel=r'$m~[10^{-3}]$'
yaxis=axis.lin(min=ymin,max=ymax,title=ylabel,density=2)
ypos=cplt.height+0.5
key=graph.key.key(pos="br")
c,g = doplot_full(x,corr,err_corr,nocorr,err_nocorr,xaxis,yaxis,ypos,key)
return c,g
def plot_c2thresh():
nocorr = [0.17, 0.93, 0.81, 0.58, 0.49, 0.42]
err_nocorr = [0.09, 0.10, 0.10, 0.10, 0.11, 0.11]
corr = [0.17, 0.17, 0.15, 0.13, 0.14, 0.12]
err_corr = [0.09, 0.10, 0.10, 0.10, 0.11, 0.11]
xlabel=r'$S/N$ threshold'
ymin,ymax=-3,3
xaxis=axis.lin(min=xrng[0],max=xrng[1],title=xlabel)
c,g=plot_c(thresh,corr,err_corr,nocorr,err_nocorr,ymin,ymax,xaxis)
return c,g
def _get_axes(kw):
xlog=kw.get('xlog',False)
ylog=kw.get('ylog',False)
xkw=dict(
title=kw.get('xlabel',None),
min=kw.get('xmin',None),
max=kw.get('xmax',None),
# density of ticks
density=kw.get('xdensity',1),
reverse=kw.get('xreverse',0),
)
ykw=dict(
title=kw.get('ylabel',None),
min=kw.get('ymin',None),
max=kw.get('ymax',None),
# density of ticks
density=kw.get('ydensity',1),
reverse=kw.get('yreverse',0),
)
if xlog:
xaxis = axis.log(**xkw)
else:
xaxis = axis.lin(**xkw)
if ylog:
yaxis = axis.log(**ykw)
else:
yaxis = axis.lin(**ykw)
return xaxis, xlog, yaxis, ylog
def doplot(self,
d,
xlabel=None,
xlog=False,
ymin=-0.0029,
ymax=0.0029,
xmin=None,
xmax=None,
nocorr=False,
fitlines=False,
**kw):
"""
plot the results
parameters
----------
d: dict
result of running something like process_run or process_flist
**kw:
extra plotting keywords
"""
import pyxtools
from pyx import graph, deco, style
from pyx.graph import axis
if xlabel is None:
xlabel = 'x'
xdensity = kw.get('xdensity', 1.5)
ydensity = kw.get('ydensity', 1.5)
red = pyxtools.colors('red')
blue = pyxtools.colors('blue')
xvals = self._extract_xvals(d)
if nocorr:
sh = d['shear_nocorr']['shear']
sherr = d['shear_nocorr']['shear_err']
else:
sh = d['shear']['shear']
sherr = d['shear']['shear_err']
if xlog:
xcls = axis.log
else:
xcls = axis.lin
xaxis = xcls(
title=xlabel,
density=xdensity,
min=xmin,
max=xmax,
)
yaxis = axis.lin(
title=r"$\langle g \rangle$",
density=ydensity,
min=ymin,
max=ymax,
)
key = graph.key.key(pos='bl')
g = graph.graphxy(
width=8,
ratio=1.2,
key=key,
x=xaxis,
y=yaxis,
)
c = graph.data.function(
"y(x)=0",
title=None,
min=xvals[0],
max=xvals[-1],
)
g.plot(c)
g1values = graph.data.values(
x=list(xvals),
y=list(sh[:, 0]),
dy=list(sherr[:, 0]),
title=r'$g_1$',
)
g2values = graph.data.values(
x=list(xvals),
y=list(sh[:, 1]),
dy=list(sherr[:, 1]),
title=r'$g_2$',
)
symbol1 = graph.style.symbol(
symbol=graph.style.symbol.circle,
symbolattrs=[red, deco.filled([red])],
size=0.1,
)
symbol2 = graph.style.symbol(
symbol=graph.style.symbol.triangle,
symbolattrs=[blue, deco.filled([blue])],
size=0.1,
)
g.plot(g1values, [symbol1, graph.style.errorbar(errorbarattrs=[red])])
g.plot(g2values, [symbol2, graph.style.errorbar(errorbarattrs=[blue])])
use_errors = True
if fitlines and not use_errors:
res1 = fitline(xvals, sh[:, 0])
res2 = fitline(xvals, sh[:, 1])
fmt = '(%(slope).3g +/- %(slope_err).3g) x + (%(offset).3g +/- %(offset_err).3g)'
print("line1: " + fmt % res1)
print("line2: " + fmt % res2)
if self.element is not None:
tit1 = r'$g_1=%.2g ~g^{psf}_%d + %.2g$' % (
res1['slope'], self.element + 1, res1['offset'])
tit2 = r'$g_2=%.2g ~g^{psf}_%d + %.2g$' % (
res2['slope'], self.element + 1, res2['offset'])
else:
tit1 = r'$g_1=%.2g ~x + %.2g$' % (res1['slope'],
res1['offset'])
tit2 = r'$g_2=%.2g ~x + %.2g$' % (res1['slope'],
res1['offset'])
c1 = graph.data.function(
"y(x)=%g*x + %g" % tuple((res1['slope'], res1['offset'])),
title=tit1,
min=xvals[0],
max=xvals[-1],
)
c2 = graph.data.function(
"y(x)=%g*x + %g" % tuple((res2['slope'], res2['offset'])),
title=tit2,
min=xvals[0],
max=xvals[-1],
)
styles1 = [
graph.style.line([red, style.linestyle.solid]),
]
styles2 = [
graph.style.line([blue, style.linestyle.dashed]),
]
g.plot(c1, styles1)
g.plot(c2, styles2)
if fitlines and use_errors:
# old code
import fitting
l1 = fitting.fit_line(xvals, sh[:, 0], yerr=sherr[:, 0])
l2 = fitting.fit_line(xvals, sh[:, 1], yerr=sherr[:, 1])
res1 = l1.get_result()
res2 = l2.get_result()
pars1, err1 = res1['pars'], res1['perr']
pars2, err2 = res2['pars'], res2['perr']
fmt = '(%.3g +/- %.3g) x + (%.3g +/- %.3g)'
print("line1: " + fmt % (pars1[0], err1[0], pars1[1], err1[1]))
print("line2: " + fmt % (pars2[0], err2[0], pars2[1], err2[1]))
if self.element is not None:
tit1 = r'$g_1=%.2g ~g^{psf}_%d + %.2g$' % (
pars1[0], self.element + 1, pars1[1])
tit2 = r'$g_2=%.2g ~g^{psf}_%d + %.2g$' % (
pars2[0], self.element + 1, pars2[1])
else:
tit1 = r'$g_1=%.2g ~x + %.2g$' % (pars1[0], pars1[1])
tit2 = r'$g_2=%.2g ~x + %.2g$' % (pars2[0], pars2[1])
c1 = graph.data.function(
"y(x)=%g*x + %g" % tuple(pars1),
title=tit1,
min=xvals[0],
max=xvals[-1],
)
c2 = graph.data.function(
"y(x)=%g*x + %g" % tuple(pars2),
title=tit2,
min=xvals[0],
max=xvals[-1],
)
styles1 = [
graph.style.line([red, style.linestyle.solid]),
]
styles2 = [
graph.style.line([blue, style.linestyle.dashed]),
]
g.plot(c1, styles1)
g.plot(c2, styles2)
if 'file' in kw:
print("writing:", kw['file'])
pyxtools.write(g, kw['file'], dpi=200)
if fitlines and 'fitfile' in kw:
print("writing:", kw['fitfile'])
with open(kw['fitfile'], 'w') as fobj:
fobj.write(repr(l1))
fobj.write('\n')
fobj.write(repr(l2))
fobj.write('\n')
return g
from math import pi
from pyx import *
from pyx.graph import axis
xgridpainter = axis.painter.regular(gridattrs=[])
ygridpainter = axis.painter.regular(
gridattrs=[attr.changelist([style.linestyle.dashed, None])])
g = graph.graphxy(width=10,
x=axis.lin(painter=xgridpainter,
divisor=pi,
texter=axis.texter.rational(suffix=r"\pi"),
min=-4 * pi,
max=4 * pi),
y=axis.lin(painter=ygridpainter))
g.plot(graph.data.function("y(x)=sin(x)/x", points=200))
g.writeEPSfile()
g.writePDFfile()
g.writeSVGfile()
def doplot(self, d, xlabel=None, xlog=False,
ymin=-0.0029, ymax=0.0029,
xmin=None,xmax=None,
nocorr=False,
fitlines=False,
**kw):
"""
plot the results
parameters
----------
d: dict
result of running something like process_run or process_flist
**kw:
extra plotting keywords
"""
import pyxtools
from pyx import graph, deco, style
from pyx.graph import axis
if xlabel is None:
xlabel='x'
xdensity=kw.get('xdensity',1.5)
ydensity=kw.get('ydensity',1.5)
red=pyxtools.colors('red')
blue=pyxtools.colors('blue')
xvals=self._extract_xvals(d)
if nocorr:
sh=d['shear_nocorr']['shear']
sherr=d['shear_nocorr']['shear_err']
else:
sh=d['shear']['shear']
sherr=d['shear']['shear_err']
if xlog:
xcls=axis.log
else:
xcls=axis.lin
xaxis=xcls(
title=xlabel,
density=xdensity,
min=xmin,
max=xmax,
)
yaxis=axis.lin(
title=r"$\langle g \rangle$",
density=ydensity,
min=ymin,
max=ymax,
)
key=graph.key.key(pos='bl')
g = graph.graphxy(
width=8,
ratio=1.2,
key=key,
x=xaxis,
y=yaxis,
)
c=graph.data.function(
"y(x)=0",
title=None,
min=xvals[0], max=xvals[-1],
)
g.plot(c)
g1values=graph.data.values(
x=list(xvals),
y=list(sh[:,0]),
dy=list(sherr[:,0]),
title=r'$g_1$',
)
g2values=graph.data.values(
x=list(xvals),
y=list(sh[:,1]),
dy=list(sherr[:,1]),
title=r'$g_2$',
)
symbol1=graph.style.symbol(
symbol=graph.style.symbol.circle,
symbolattrs=[red,deco.filled([red])],
size=0.1,
)
symbol2=graph.style.symbol(
symbol=graph.style.symbol.triangle,
symbolattrs=[blue,deco.filled([blue])],
size=0.1,
)
g.plot(g1values,[symbol1, graph.style.errorbar(errorbarattrs=[red])])
g.plot(g2values,[symbol2, graph.style.errorbar(errorbarattrs=[blue])])
use_errors=True
if fitlines and not use_errors:
res1=fitline(xvals,sh[:,0])
res2=fitline(xvals,sh[:,1])
fmt='(%(slope).3g +/- %(slope_err).3g) x + (%(offset).3g +/- %(offset_err).3g)'
print("line1: "+fmt % res1)
print("line2: "+fmt % res2)
if self.element is not None:
tit1=r'$g_1=%.2g ~g^{psf}_%d + %.2g$' % (res1['slope'],self.element+1,res1['offset'])
tit2=r'$g_2=%.2g ~g^{psf}_%d + %.2g$' % (res2['slope'],self.element+1,res2['offset'])
else:
tit1=r'$g_1=%.2g ~x + %.2g$' % (res1['slope'],res1['offset'])
tit2=r'$g_2=%.2g ~x + %.2g$' % (res1['slope'],res1['offset'])
c1=graph.data.function(
"y(x)=%g*x + %g" % tuple( (res1['slope'], res1['offset'])),
title=tit1,
min=xvals[0], max=xvals[-1],
)
c2=graph.data.function(
"y(x)=%g*x + %g" % tuple( (res2['slope'], res2['offset'])),
title=tit2,
min=xvals[0], max=xvals[-1],
)
styles1=[
graph.style.line([red, style.linestyle.solid]),
]
styles2=[
graph.style.line([blue, style.linestyle.dashed]),
]
g.plot(c1,styles1)
g.plot(c2,styles2)
if fitlines and use_errors:
# old code
import fitting
l1=fitting.fit_line(xvals,sh[:,0],yerr=sherr[:,0])
l2=fitting.fit_line(xvals,sh[:,1],yerr=sherr[:,1])
res1=l1.get_result()
res2=l2.get_result()
pars1,err1=res1['pars'],res1['perr']
pars2,err2=res2['pars'],res2['perr']
fmt='(%.3g +/- %.3g) x + (%.3g +/- %.3g)'
print("line1: "+fmt % (pars1[0],err1[0],pars1[1],err1[1]))
print("line2: "+fmt % (pars2[0],err2[0],pars2[1],err2[1]))
if self.element is not None:
tit1=r'$g_1=%.2g ~g^{psf}_%d + %.2g$' % (pars1[0],self.element+1,pars1[1])
tit2=r'$g_2=%.2g ~g^{psf}_%d + %.2g$' % (pars2[0],self.element+1,pars2[1])
else:
tit1=r'$g_1=%.2g ~x + %.2g$' % (pars1[0],pars1[1])
tit2=r'$g_2=%.2g ~x + %.2g$' % (pars2[0],pars2[1])
c1=graph.data.function(
"y(x)=%g*x + %g" % tuple(pars1),
title=tit1,
min=xvals[0], max=xvals[-1],
)
c2=graph.data.function(
"y(x)=%g*x + %g" % tuple(pars2),
title=tit2,
min=xvals[0], max=xvals[-1],
)
styles1=[
graph.style.line([red, style.linestyle.solid]),
]
styles2=[
graph.style.line([blue, style.linestyle.dashed]),
]
g.plot(c1,styles1)
g.plot(c2,styles2)
if 'file' in kw:
print("writing:",kw['file'])
pyxtools.write(g, kw['file'], dpi=200)
if fitlines and 'fitfile' in kw:
print("writing:",kw['fitfile'])
with open(kw['fitfile'],'w') as fobj:
fobj.write(repr(l1))
fobj.write('\n')
fobj.write(repr(l2))
fobj.write('\n')
return g
from math import pi
from pyx import *
from pyx.graph import axis
xgridpainter = axis.painter.regular(gridattrs=[])
ygridpainter = axis.painter.regular(gridattrs=[attr.changelist([style.linestyle.dashed, None])])
g = graph.graphxy(width=10,
x=axis.lin(painter=xgridpainter,
divisor=pi, texter=axis.texter.rational(suffix=r"\pi"), min=-4*pi, max=4*pi),
y=axis.lin(painter=ygridpainter))
g.plot(graph.data.function("y(x)=sin(x)/x", points=200))
g.writeEPSfile()
g.writePDFfile()
g.writeSVGfile()