Python FramedPlot.aspect_ratio方法代码示例

# 需要导入模块: from biggles import FramedPlot [as 别名]
# 或者: from biggles.FramedPlot import aspect_ratio [as 别名]
    def plot_T(self, k, T, Tc=None, Tb=None):
        from biggles import FramedPlot, Curve, PlotKey

        plt=FramedPlot()

        c=Curve(k, T**2)
        c.label = '$T^2$'
        plt.add(c)
        plist = [c]

        if Tc is not None:
            cc=Curve(k,Tc**2,color='blue')
            cc.label = '$Tc^2$'
            plt.add(cc)
            plist.append(cc)

        if Tb is not None:
            tmp = where(Tb < 1.e-5, 1.e-5, Tb)
            cb=Curve(k,tmp**2,color='red')
            cb.label = '$Tb^2$'
            plt.add(cb)
            plist.append(cb)

        plt.xlog=True
        plt.ylog=True
        plt.ylabel = '$T^2'
        plt.xlabel = 'k'
        plt.yrange = [1.e-8,1.0]
        plt.aspect_ratio=1

        if Tc is not None or Tb is not None:
            key=PlotKey(0.1,0.9,plist)
            plt.add(key)

        plt.show()

# 需要导入模块: from biggles import FramedPlot [as 别名]
# 或者: from biggles.FramedPlot import aspect_ratio [as 别名]
    def plot_pk(self,k,pk):
        from biggles import FramedPlot, Curve

        plt=FramedPlot()
        plt.add(Curve(k,pk))
        plt.xlog=True
        plt.ylog=True

        plt.xlabel = r'$k [h/Mpc]$'
        plt.ylabel = r'$P_{lin}(k)$'
        plt.aspect_ratio = 1
        plt.show()

# 需要导入模块: from biggles import FramedPlot [as 别名]
# 或者: from biggles.FramedPlot import aspect_ratio [as 别名]
    def make_plot(self):

        bindata=self.bindata
        bin_field=self.bin_field
        plt=FramedPlot()
        
        plt.uniform_limits=1
        plt.xlog=True
        #plt.xrange=[0.5*bindata[bin_field].min(), 1.5*bindata[bin_field].max()]
        plt.xrange=self.s2n_range
        plt.xlabel=bin_field
        plt.ylabel = r'$\gamma$'
        if self.yrange is not None:
            plt.yrange=self.yrange

        xdata=bindata[bin_field]
        xerr=bindata[bin_field+'_err']

        if self.shnum in sh1exp:
            g1exp=zeros(xdata.size)+sh1exp[self.shnum]
            g2exp=zeros(xdata.size)+sh2exp[self.shnum]
            g1exp_plt=Curve(xdata, g1exp)
            g2exp_plt=Curve(xdata, g2exp)
            plt.add(g1exp_plt)
            plt.add(g2exp_plt)


        xerrpts1 = SymmetricErrorBarsX(xdata, bindata['g1'], xerr)
        xerrpts2 = SymmetricErrorBarsX(xdata, bindata['g2'], xerr)

        type='filled circle'
        g1color='blue'
        g2color='red'
        g1pts = Points(xdata, bindata['g1'], type=type, color=g1color)
        g1errpts = SymmetricErrorBarsY(xdata, bindata['g1'], bindata['g1_err'], color=g1color)
        g2pts = Points(xdata, bindata['g2'], type=type, color=g2color)
        g2errpts = SymmetricErrorBarsY(xdata, bindata['g2'], bindata['g2_err'], color=g2color)

        g1pts.label=r'$\gamma_1$'
        g2pts.label=r'$\gamma_2$'

        key=biggles.PlotKey(0.9,0.5,[g1pts,g2pts],halign='right')

        plt.add( xerrpts1, g1pts, g1errpts )
        plt.add( xerrpts2, g2pts, g2errpts )
        plt.add(key)

        labels=self.get_labels()

        plt.add(*labels)
        plt.aspect_ratio=1

        self.plt=plt

# 需要导入模块: from biggles import FramedPlot [as 别名]
# 或者: from biggles.FramedPlot import aspect_ratio [as 别名]
def plot_dsig_one(r, dsig, dsigerr, **kw):
    """
    plot delta sigma

    useful if adding to an existing plot

    parameters
    ----------
    r: array
        radius
    dsig: array
        delta sigma
    dsigerr: array
        error on delta sigma
    """

    from biggles import FramedPlot

    nbin=1
    _set_biggles_defs(nbin)

    visible=kw.get('visible',True)
    xlog=kw.get('xlog',True)
    ylog=kw.get('ylog',True)
    aspect_ratio=kw.get('aspect_ratio',1)

    is_ortho=kw.get('is_ortho',False)

    plt=kw.get('plt',None)

    if plt is None:
        plt=FramedPlot()
        plt.aspect_ratio=aspect_ratio
        plt.xlog=xlog
        plt.ylog=ylog

        plt.xlabel = LABELS['rproj']
        if is_ortho:
            plt.ylabel = LABELS['osig']
        else:
            plt.ylabel = LABELS['dsig']

    xrng, yrng = _add_dsig_to_plot(plt, r, dsig, dsigerr, **kw)
    plt.xrange=xrng
    plt.yrange=yrng

    if visible:
        plt.show()

    return plt

# 需要导入模块: from biggles import FramedPlot [as 别名]
# 或者: from biggles.FramedPlot import aspect_ratio [as 别名]
def plot_boss_geometry(color=None, colorwheel=None, plt=None, width=1, show=True,
                       region=None):
    """
    Plot the boundaries in the boss_survey.par file
    """
    import esutil as eu
    import biggles
    from biggles import FramedPlot, Curve

    bg = read_boss_geometry()

    if plt is None:
        plt = FramedPlot()
        plt.xlabel=r'$\lambda$'
        plt.ylabel=r'$\eta$'

    if color is not None:
        colors = [color]*len(bg)
    elif colorwheel is not None:
        colors = colorwheel
    else:
        colors = ['red','blue','green','magenta','navyblue','seagreen',
                  'firebrick','cadetblue','green4']
        

    for i in xrange(len(bg)):
        b = bg[i]
        color = colors[i % len(colors)]
        c = eu.plotting.bbox( b['clambdaMin'], b['clambdaMax'], b['cetaMin'], b['cetaMax'],
                             color=color, width=width)
        plt.add(c)

    if region == 'ngc':
        plt.yrange = [-40.,50.]
        plt.xrange = [-80.,80.]
    elif region == 'sgc':
        plt.yrange = [105.,165.]
        plt.xrange = [-60.,60.]
    else:
        plt.yrange = [-40.,165.]
        plt.xrange = [-80.,80.]


    plt.aspect_ratio = (plt.yrange[1]-plt.yrange[0])/(plt.xrange[1]-plt.xrange[0])

    if show:
        plt.show()

    return plt

# 需要导入模块: from biggles import FramedPlot [as 别名]
# 或者: from biggles.FramedPlot import aspect_ratio [as 别名]
    def plot_xi(self, r, xi):
        from biggles import FramedPlot, Curve
        minval = 1.e-4

        xi = where(xi < minval, minval, xi)

        plt=FramedPlot()
        plt.add(Curve(r,xi))
        plt.xlog=True
        plt.ylog=True

        plt.xlabel = r'$r [Mpc/h]$'
        plt.ylabel = r'$\xi_{lin}(r)$'
        plt.aspect_ratio=1
        plt.show()

# 需要导入模块: from biggles import FramedPlot [as 别名]
# 或者: from biggles.FramedPlot import aspect_ratio [as 别名]
def plot_drho(comb=None, r=None, drho=None, drhoerr=None, 
              color='black',type='filled circle',
              nolabel=False, noshow=False, minval=1.e-5,
              aspect_ratio=1):
    """
    This one stands alone. 
    """

    if comb is not None:
        r=comb['rdrho']
        drho=comb['drho']
        drhoerr=comb['drhoerr']
    else:
        if r is None or drho is None or drhoerr is None:
            raise ValueError("Send a combined struct or r,drho,drhoerr")


    plt=FramedPlot()
    plt.aspect_ratio=aspect_ratio
    plt.xlog=True
    plt.ylog=True

    if not nolabel:
        plt.xlabel = r'$r$ [$h^{-1}$ Mpc]'
        plt.ylabel = r'$\delta\rho ~ [M_{\odot} pc^{-3}]$'


    od=add_to_log_plot(plt, r, drho, drhoerr, 
                       color=color, 
                       type=type,
                       minval=minval)

    # for drho we need even broader yrange
    plt.xrange = od['xrange']

    yr=od['yrange']
    plt.yrange = [0.5*yr[0], 3*yr[1]]

    if not noshow:
        plt.show()
    od['plt'] = plt
    return od

# 需要导入模块: from biggles import FramedPlot [as 别名]
# 或者: from biggles.FramedPlot import aspect_ratio [as 别名]
def plot_mass(comb=None, r=None, mass=None, masserr=None, 
              color='black',type='filled circle',
              nolabel=False, noshow=False, minval=1.e11,
              aspect_ratio=1):

    if comb is not None:
        r=comb['rmass']
        mass=comb['mass']
        masserr=comb['masserr']
    else:
        if r is None or mass is None or masserr is None:
            raise ValueError("Send a combined struct or r,mass,masserr")


    plt=FramedPlot()
    plt.aspect_ratio=aspect_ratio
    plt.xlog=True
    plt.ylog=True

    if not nolabel:
        plt.xlabel = r'$r$ [$h^{-1}$ Mpc]'
        plt.ylabel = r'$M(<r) ~ [h^{-1} M_{\odot}]$'


    od=add_to_log_plot(plt, r, mass, masserr, 
                       color=color, 
                       type=type,
                       minval=minval)

    plt.xrange = od['xrange']
    plt.yrange = od['yrange']

    if not noshow:
        plt.show()
    od['plt'] = plt
    return od

# 需要导入模块: from biggles import FramedPlot [as 别名]
# 或者: from biggles.FramedPlot import aspect_ratio [as 别名]
def plot_dsig(**keys):
    """
    This one stands alone. 
    """

    comb=keys.get('comb',None)
    r=keys.get('r',None)
    dsig=keys.get('dsig',None)
    dsigerr=keys.get('dsigerr',None)
    color=keys.get('color','black')
    type=keys.get('type','filled circle')
    nolabel=keys.get('nolabel',False)
    show=keys.get('show',True)
    minval=keys.get('minval',1.e-3)
    xlog=keys.get('xlog',True)
    ylog=keys.get('ylog',True)
    aspect_ratio=keys.get('aspect_ratio',1)
    plt=keys.get('plt',None)

    label=keys.get('label',None)

    if comb is not None:
        r=comb['r']
        dsig=comb['dsig']
        dsigerr=comb['dsigerr']
    else:
        if r is None or dsig is None or dsigerr is None:
            raise ValueError("Send a combined struct or r,dsig,dsigerr")

    if plt is None:
        plt=FramedPlot()
        plt.aspect_ratio=aspect_ratio
        plt.xlog=xlog
        plt.ylog=ylog

        if not nolabel:
            plt.xlabel = labels['rproj']
            plt.ylabel = labels['dsig']

    if ylog:
        od=add_to_log_plot(plt, r, dsig, dsigerr, 
                           color=color, 
                           type=type,
                           minval=minval)
        plt.xrange = od['xrange']
        plt.yrange = od['yrange']

        if label:
            od['p'].label=label
    else:
        zpts=Curve(r, dsig*0)
        plt.add(zpts)

        pts=Points(r, dsig, type=type, color=color)

        if label:
            pts.label=label

        plt.add(pts)
        if dsigerr is not None:
            epts=SymErrY(r, dsig, dsigerr, color=color)
            plt.add(epts)

        yrng=keys.get('yrange',None)
        xrng=keys.get('xrange',None)
        if yrng:
            plt.yrange=yrng
        if xrng:
            plt.xrange=xrng
        else:
            if xlog:
                plt.xrange=eu.plotting.get_log_plot_range(r)



    if show:
        plt.show()

    if ylog:
        od['plt'] = plt
        return od
    else:
        return plt

# 需要导入模块: from biggles import FramedPlot [as 别名]
# 或者: from biggles.FramedPlot import aspect_ratio [as 别名]
    def plot_coverage(self, region='both', show=True, dops=True):
        import biggles
        from biggles import FramedPlot, Points, PlotKey


        l = self.read()
        w,=numpy.where( (l['ra'] >= 0.0) & (l['ra'] <= 360.0) )
        if w.size != l.size:
            print("threw out",l.size-w.size,"with bad ra")
            l=l[w]

        llam,leta = eu.coords.eq2sdss(l['ra'],l['dec'])
        maskflags = l['maskflags']

        lammin,lammax = (-70.,70.)

        if region=='ngc':
            # a bit high to make room for the legend
            emin,emax=(-40,60)

            biggles.configure('screen','width', 1800)
            biggles.configure('screen','height', 1140)

        elif region=='sgc':
            emin,emax=(100,165)
            biggles.configure('screen','width', 1800)
            biggles.configure('screen','height', 1140)
        else:
            emin,emax=(-40,165)
            biggles.configure('screen','width', 1140)
            biggles.configure('screen','height', 1140)

        wl=where1((leta > emin) & (leta < emax))
        llam=llam[wl]
        leta=leta[wl]
        maskflags=maskflags[wl]


        plt=FramedPlot()
        plt.xlabel=r'$\lambda$'
        plt.ylabel=r'$\eta$'

        print("adding all lenses")

        type = 'filled circle'
        symsize=0.2

        allp = Points(llam,leta,type=type,size=symsize)
        allp.label='all'
        plt.add(allp)

        wquad = es_sdsspy.stomp_maps.quad_check(maskflags)
        print("adding quad pass")
        quadp = Points(llam[wquad],leta[wquad],type=type,color='red',size=symsize)
        quadp.label = 'quad good'
        plt.add(quadp)

        fakepoints = eu.plotting.fake_filled_circles(['all','quad good'],['black','red'])
        key=PlotKey(0.95,0.95,fakepoints,halign='right')
        plt.add(key)


        es_sdsspy.stomp_maps.plot_boss_geometry(color='blue',plt=plt,show=False)

        xrng = (lammin, lammax)
        yrng = (emin, emax)
        plt.xrange = xrng
        plt.yrange = yrng
        plt.aspect_ratio = (yrng[1]-yrng[0])/float(xrng[1]-xrng[0])


        if show:
            plt.show()

        if dops:
            d = lensing.files.sample_dir(type='lcat',sample=self['sample'])
            d = os.path.join(d,'plots')
            if not os.path.exists(d):
                os.makedirs(d)
            epsfile = os.path.join(d, 'lcat-%s-%s-coverage.eps' % (self['sample'],region) )
            print("Writing to eps file:",epsfile)
            plt.write_eps(epsfile)
        return plt

# 需要导入模块: from biggles import FramedPlot [as 别名]
# 或者: from biggles.FramedPlot import aspect_ratio [as 别名]

#.........这里部分代码省略.........
            emin,emax=(105,165)
            biggles.configure('screen','width', 1800)
            biggles.configure('screen','height', 1140)
            clammin,clammax = (-50.,90.)
        else:
            emin,emax=(-40,165)
            biggles.configure('screen','width', 1140)
            biggles.configure('screen','height', 1140)
            clammin,clammax = (-70.,120.)

        wl=where1((all_ceta > emin) & (all_ceta < emax))
        all_clam=all_clam[wl]
        all_ceta=all_ceta[wl]

        wl=where1((ceta > emin) & (ceta < emax))
        clam=clam[wl]
        ceta=ceta[wl]
        l=l[wl]


        plt=FramedPlot()
        plt.xlabel=r'$\lambda$'
        plt.ylabel=r'$\eta$'
        xrng = (clammin, clammax)
        yrng = (emin, emax)
        plt.xrange = xrng
        plt.yrange = yrng


        print("adding all lenses")

        type = 'filled circle'
        symsize=0.2
        colors = pcolors.rainbow(binner['nbin'],'hex')


        if rand is not None:
            clam_r,ceta_r = eu.coords.eq2sdss(rand['ra'],rand['dec'])
            wl=where1((ceta_r > emin) & (ceta_r < emax))
            clam_r=clam_r[wl]
            ceta_r=ceta_r[wl]
            rp = Points(clam_r, ceta_r, type='dot', size=0.2)
            plt.add(rp)
        
        size_min=0.2
        size_max=4

        sizes=[]
        minlambda = l['lambda_zred'].min()
        maxlambda = l['lambda_zred'].max()
        for i in xrange(binner['nbin']):
            w=binner.select_bin(l, i)
            mlam=l['lambda_zred'][w].mean()
            # scale 0 to 1
            sz=(mlam-minlambda)/maxlambda
            # now scale size
            sz = size_min + sz*(size_max-size_min)
            sizes.append(sz)

        all_plots=[]
        labels=[]
        #for i in xrange(binner['nbin']):
        for i in reversed(xrange(binner['nbin'])):
            w=binner.select_bin(l, i)

            #points = Points(clam[w], ceta[w],type=type,size=symsize, color=colors[i])
            points = Points(clam[w], ceta[w],type=type,size=sizes[i], color=colors[i])
            labels.append(binner.bin_label(i))

            plt.add(points)


        labels.reverse()
        fakepoints = eu.plotting.fake_filled_circles(labels, colors)
        key=PlotKey(0.95,0.95,fakepoints,halign='right',size=1.5)
        plt.add(key)

        plt.aspect_ratio = (yrng[1]-yrng[0])/float(xrng[1]-xrng[0])

        es_sdsspy.stomp_maps.plot_boss_geometry(color='blue',plt=plt,show=False)

        if show:
            plt.show()

        if dops:
            d = lensing.files.sample_dir(type='lcat',sample=self['sample'])
            d = os.path.join(d,'plots')
            if not os.path.exists(d):
                os.makedirs(d)
            epsfile = os.path.join(d, 'lcat-%s-coverage-bybin.eps' % self['sample'])
            if rand is not None:
                epsfile=epsfile.replace('.eps','-withrand.eps')
            if region in ['sgc','ngc']:
                epsfile=epsfile.replace('.eps','-%s.eps' % region)

            print("Writing to eps file:",epsfile)
            plt.write_eps(epsfile)
            print("converting to png")
            converter.convert(epsfile, dpi=300)
        return plt

# 需要导入模块: from biggles import FramedPlot [as 别名]
# 或者: from biggles.FramedPlot import aspect_ratio [as 别名]
def main():
    options,args = parser.parse_args(sys.argv[1:])

    if len(args) < 3:
        parser.print_help()
        sys.exit(1)

    run1 = args[0]
    run2 = args[1]
    bintype = args[2]

    rrange=options.rrange
    if rrange is not None:
        rrange=[float(r) for r in rrange.split(',')]

    biggles.configure('screen','width', 1400)
    biggles.configure('default','fontsize_min',1.0)

    b = lensing.binning.instantiate_binner(bintype)

    name=b.get_name()
    data1 = lensing.files.sample_read(type=options.type, sample=run1, name=name)
    data2 = lensing.files.sample_read(type=options.type, sample=run2, name=name)

    nbin=data1.size

    tab=Table(1,2)
    for i in xrange(nbin):
        tab[0,0] = plot2dsig_over(
            data1['r'][i],data1['dsig'][i],data1['dsigerr'][i],
            data2['r'][i],data2['dsig'][i],data2['dsigerr'][i],
            label1=run1,label2=run2,label=b.bin_label(i),
            show=False)
        tab[0,0].aspect_ratio=1

        pbot = FramedPlot()

        rat=data1['dsig'][i]/data2['dsig'][i]
        raterr = rat*numpy.sqrt( (data1['dsigerr'][i]/data1['dsig'][i])**2
                                +(data2['dsigerr'][i]/data2['dsig'][i])**2 )

        rpts=Points(data1['r'][i], rat, type='filled circle',color='blue')
        rerr=SymErrY(data1['r'][i], rat, raterr,color='blue')

        if rrange is None:
            rat_use,raterr_use=rat,raterr
        else:
            w,=numpy.where( (data1['r'][i] > rrange[0]) & (data1['r'][i] < rrange[1]))
            rat_use,raterr_use=rat[w],raterr[w]
        mn,err = eu.stat.wmom(rat_use, 1/raterr_use**2, calcerr=True)

        plot_rrange=[0.5*data1['r'][i].min(),data1['r'][i].max()*2]
        z=Curve(plot_rrange, [1,1])
        pbot.add(rpts,rerr,z)
        pbot.xlog=True
        pbot.xlabel = lensing.plotting.labels['rproj']
        pbot.ylabel = '%s/%s' % (run1,run2)
        pbot.yrange=[0,2]
        pbot.xrange = plot_rrange
        pbot.aspect_ratio=1

        lab='<ratio>'
        if rrange is not None:
            lab = r'$%s r \in [%.2f,%.2f]$' % (lab,rrange[0],rrange[1])

        lab='%s: %0.2f +/- %0.2f' % (lab,mn,err)
        pbot.add(PlotLabel(0.9,0.9,lab,halign='right'))

        tab[0,1] = pbot
        tab.show()

        epsfile=lensing.files.sample_file(type='binned-plots',
                                          sample=run1,
                                          name=name,
                                          extra='compare-%s-%02d' % (run2,i),
                                          ext='eps')
        print("writing:",epsfile)
        tab.write_eps(epsfile)
        if nbin > 1:
            key=raw_input('hit a key: ')
            if key.lower() == 'q':
                return

# 需要导入模块: from biggles import FramedPlot [as 别名]
# 或者: from biggles.FramedPlot import aspect_ratio [as 别名]
def plot_nfw_lin_fits_byrun(run, name, npts=100, prompt=False, 
                            withlin=True,
                            ymin=0.01, ymax=2000.0):
    """

    This should be made not specific for the m-z splits we
    used on the sims

    """
    conf = lensing.files.cascade_config(run)
    if withlin:
        ex='lin'
        nex='lin'
    else:
        nex=''
        ex=''
    d = lensing.sample_read(type='fit',sample=run, name=name, extra=ex)

    omega_m = conf['cosmo_config']['omega_m']

    rravel = d['r'].ravel()
    xrange = [0.5*rravel.min(), 1.5*rravel.max()]

    #for i in xrange(d.size):
    i=0
    for dd in d:

        zrange = dd['z_range']
        mrange = dd['m200_range']

        if dd['rrange'][0] > 0:
            log_rmin = log10(dd['rrange'][0])
            log_rmax = log10(dd['rrange'][1])
        else:
            log_rmin = log10(dd['r'][0])
            log_rmax = log10(dd['r'][-1])
        rvals = 10.0**linspace(log_rmin,log_rmax,npts)

        plt = FramedPlot()  
        lensing.plotting.add_to_log_plot(plt, dd['r'],dd['dsig'],dd['dsigerr'])

        z = dd['z_mean']
        fitter = lensing.fit.NFWBiasFitter(omega_m,z,rvals,withlin=withlin)

        if withlin:
            yfit = fitter.nfw_lin_dsig(rvals, dd['r200_fit'],dd['c_fit'],dd['B_fit'])
            yfit_nfw = fitter.nfw.dsig(rvals,dd['r200_fit'],dd['c_fit'])
            yfit_lin = fitter.lin_dsig(rvals,dd['B_fit'])

            yfit = where(yfit < 1.e-5, 1.e-5, yfit)
            yfit_lin = where(yfit_lin < 1.e-5, 1.e-5, yfit_lin)

            cyfit = Curve(rvals,yfit,color='blue')
            cyfit_nfw = Curve(rvals,yfit_nfw,color='red')
            cyfit_lin = Curve(rvals,yfit_lin,color='orange')

            cyfit.label = 'Best Fit'
            cyfit_nfw.label = 'NFW'
            cyfit_lin.label = 'linear'

            key=PlotKey(0.1,0.3,[cyfit,cyfit_nfw,cyfit_lin])
            plt.add(cyfit,cyfit_nfw,cyfit_lin,key)
        else:
            yfit_nfw = fitter.nfw.dsig(rvals,dd['r200_fit'],dd['c_fit'])
            cyfit_nfw = Curve(rvals,yfit_nfw,color='blue')
            plt.add(cyfit_nfw)

        zlab='%0.2f < z < %0.2f' % (zrange[0],zrange[1])
        plt.add(PlotLabel(0.7,0.8,zlab))
        ll = (log10(mrange[0]),log10(mrange[1]))
        mlab = r'$%0.2f < logM_{200} < %0.2f$' % ll
        plt.add(PlotLabel(0.7,0.9,mlab))

        #yrange = [ymin,(dd['dsig']+dd['dsigerr']).max()*1.5]
        yrange = [ymin,ymax]
        plt.xrange = xrange
        plt.yrange = yrange
        plt.xlog=True
        plt.ylog=True
        plt.xlabel = r'$r$ [$h^{-1}$ Mpc]'
        plt.ylabel = r'$\Delta\Sigma ~ [M_{sun} pc^{-2}]$'
        plt.aspect_ratio=1
        if prompt:
            plt.show()
            rinput = raw_input('hit a key: ')
            if rinput == 'q':
                return
        else:
            d = lensing.files.lensbin_plot_dir(run,name)
            if not os.path.exists(d):
                os.makedirs(d)
            epsfile=path_join(d,'desmocks-nfw%s-fit-%02i.eps' % (nex,i))
            print 'Writing epsfile:',epsfile
            plt.write_eps(epsfile)
        i += 1