Python QuaternaryPlot.label方法代码示例

# 需要导入模块: from myquaternaryutility import QuaternaryPlot [as 别名]
# 或者: from myquaternaryutility.QuaternaryPlot import label [as 别名]
    def quatplot3D(self, quatcomps, c, skipinds=range(4), azim=-60, elev=30, alphaall=.2, alphashell=1., fontsize=14, outline=True,  **kwargs):
        numsubs=int(self.nint//4)+1
        quatcomps=numpy.int32(numpy.round(quatcomps*self.nint))
        for nshell in range(int(self.nint//4)+int(self.nint%4>0)):
            ba=((quatcomps==nshell).sum(axis=1, dtype='int32')>0)&((quatcomps>=nshell).prod(axis=1, dtype='int32')>0)
            shellcomps=quatcomps[ba]
            shellc=c[ba]
            
            q=QuaternaryPlot((1, numsubs, nshell+1), outline=outline)
            if alphaall>0:
                q.plot3D(quatcomps*1./self.nint,c, alpha=alphaall, **kwargs)
            if alphashell>0:
                q.plot3D(shellcomps*1./self.nint,shellc, alpha=alphashell, **kwargs)
            if fontsize>0:
                q.label(ha='center', va='center', fontsize=fontsize)
            q.set_projection(azim=azim, elev=elev)

        if self.nint%4==0: #single point with no frame
            ba=(quatcomps==self.nint//4).prod(axis=1, dtype='int32')>0
            if True in ba:
                shellcomps=quatcomps[ba]#only 1 comp but might be duplicated
                shellc=c[ba]
                q=QuaternaryPlot((1, numsubs, numsubs), outline=outline)
                q.plot3D(quatcomps*1./self.nint,c, alpha=alphaall, **kwargs)
                q.plot3D(shellcomps*1./self.nint,shellc, alpha=alphashell, **kwargs)
                if fontsize>0:
                    q.label(ha='center', va='center', fontsize=fontsize)
                q.set_projection(azim=azim, elev=elev)

# 需要导入模块: from myquaternaryutility import QuaternaryPlot [as 别名]
# 或者: from myquaternaryutility.QuaternaryPlot import label [as 别名]
    def __init__(self, parent=None, title='', folderpath=None):
        super(dialog, self).__init__(parent)

        
        plotw=plotwidget(self)
        
        ax=plotw.axes
        
        intervs=20
        compsint=[[b, c, (intervs-a-b-c), a] for a in numpy.arange(0,intervs+1)[::-1] for b in numpy.arange(0,intervs+1-a) for c in numpy.arange(0,intervs+1-a-b)][::-1]
        print len(compsint)
        comps=numpy.float32(compsint)/intervs

        pylab.figure()
        stpquat=QuaternaryPlot(111)
        cols=stpquat.rgb_comp(comps)
        stpquat.scatter(comps, c=cols, s=100, edgecolors='none')
        stpquat.label()

        self.tf=ternaryfaces(ax)
        self.tf.label()
        self.tf.scatter(comps, cols, skipinds=[0, 1, 2, 3], s='patch')
        
        
        QObject.connect(plotw, SIGNAL("genericclickonplot"), self.plotclick)
        
        mainlayout=QGridLayout()
        mainlayout.addWidget(plotw, 0, 0)

        
        self.setLayout(mainlayout)

# 需要导入模块: from myquaternaryutility import QuaternaryPlot [as 别名]
# 或者: from myquaternaryutility.QuaternaryPlot import label [as 别名]
class binarylines:
    def __init__(self, ax, insetax, ellabels=['A', 'B', 'C', 'D'], offset=0.02, numcomppts=21, view_azim=-159, view_elev=30, **kwargs):
        self.ax=ax
        self.insetax=insetax
        self.ellabels=ellabels
        self.stpq=QuaternaryPlot(insetax, ellabels=ellabels, offset=offset)
        comppairs=[]
        a=numpy.linspace(0, 1, 21)
        count=-1
        for i in range(4):
            for j in range(i+1, 4):
                count+=1
                b=numpy.zeros((numcomppts, 4), dtype='float64')
                b[:, i]=a
                b[:, j]=1.-a
                comppairs+=[(c1, c2) for c1, c2 in zip(b[:-1], b[1:])]
        for (c1, c2) in comppairs:
            self.stpq.line(c1, c2, fmt='-', c=self.stpq.rgb_comp([(c1+c2)/2.])[0], **kwargs)
        self.stpq.set_projection(azim=view_azim, elev=view_elev)
        self.stpq.label()

    
    def plotbinaryfom(self, comps, fom, **kwargs):
        cb=comps>.001

        ms=['<','>','^','v','s','D']
        
        count=-1
        for i in range(4):
            for j in range(i+1, 4):
                count+=1
                k, l=tuple(set(range(4))-set([i, j]))
                barr=numpy.array([numpy.logical_not(b[k]|b[l]) for b in cb]) #numpy.logical_xor(b[i], b[j])&
                if not numpy.any(barr):
                    continue
                cmps=comps[barr]
                inds=numpy.argsort(cmps[:, j])
                cmps=cmps[inds]
                cols=self.stpq.rgb_comp(cmps)
                ys=fom[barr][inds]
                for count2, (c, col, y) in enumerate(zip(cmps, cols, ys)):
                    if count2==len(ys)//2:
                        self.ax.plot(c[j], y, marker=ms[count], c=col, markeredgecolor=col, label='%s,%s' %(self.ellabels[i], self.ellabels[j]), **kwargs)
                    else:
                        self.ax.plot(c[j], y, marker=ms[count], c=col, markeredgecolor=col, **kwargs)
                        #self.ax.plot(c[j], y, marker=ms[count], c=col, markeredgecolor='None')
                for count3, (c1, col1, y1, c2, col2, y2) in enumerate(zip(cmps[:-1], cols[:-1], ys[:-1], cmps[1:], cols[1:], ys[1:])):
                    col=numpy.array([col1, col2]).mean(axis=0)
                    self.ax.plot([c1[j], c2[j]], [y1, y2], '-', c=col, **kwargs)
        
    def binarylineslegend(self, **kwargs):
        try:
            self.ax.legend(**kwargs)
        except:
            pass

# 需要导入模块: from myquaternaryutility import QuaternaryPlot [as 别名]
# 或者: from myquaternaryutility.QuaternaryPlot import label [as 别名]
    def __init__(self, comps, parent=None, title='', folderpath=None):
        super(dialog, self).__init__(parent)

        
        plotw=plotwidget(self)
        
        ax=plotw.axes
        

        inds=np.where(comps[:, -1]==0.)[0]
        comps=comps[inds, :-1]
        #print comps.shape
        stpquat=QuaternaryPlot(ax)
        ax.cla()
        cols=stpquat.rgb_comp(comps)
        #stpquat.scatter(comps, c=cols, s=100, edgecolors='none')
        #stpquat.label()

        self.tf=ternaryfaces_shells(ax, nintervals=intervs)
        self.tf.label()
        self.tf.scatter(comps, cols, skipinds=[0, 1, 2, 3], s='patch')
        
        #only select comps
        plotw2=plotwidget(self, projection3d=True)
        
        
        ax=plotw2.axes
        #unary
        
        stpquat=QuaternaryPlot(ax)

        stpquat.scatter(comps, c=cols, s=100, edgecolors='none')
        stpquat.label()

        
        QObject.connect(plotw, SIGNAL("genericclickonplot"), self.plotclick)
        QObject.connect(plotw2, SIGNAL("genericclickonplot"), self.plotclick)
        
        mainlayout=QGridLayout()
        mainlayout.addWidget(plotw, 0, 0)
        mainlayout.addWidget(plotw2, 1, 0)

        
        self.setLayout(mainlayout)

# 需要导入模块: from myquaternaryutility import QuaternaryPlot [as 别名]
# 或者: from myquaternaryutility.QuaternaryPlot import label [as 别名]
def plotbinarylines_axandinset(ellabels=['A', 'B', 'C', 'D'], fig=None, mainax=[.3, .12, .6, .83], insetax=[0, .7, .2, .3], numcomppts=21, view_azim=-159, view_elev=30, **kwargs):
    if fig is None:
        fig=pylab.figure(figsize=(8, 5))

    ax=fig.add_axes(mainax)
    ax2=fig.add_axes(insetax, projection='3d')
    stpq=QuaternaryPlot(ax2, ellabels=ellabels)
    comppairs=[]
    a=numpy.linspace(0, 1, 21)
    count=-1
    for i in range(4):
        for j in range(i+1, 4):
            count+=1
            b=numpy.zeros((numcomppts, 4), dtype='float64')
            b[:, i]=a
            b[:, j]=1.-a
            comppairs+=[(c1, c2) for c1, c2 in zip(b[:-1], b[1:])]
    for (c1, c2) in comppairs:
        stpq.line(c1, c2, fmt='-', c=stpq.rgb_comp([(c1+c2)/2.])[0], **kwargs)
    stpq.set_projection(azim=view_azim, elev=view_elev)
    stpq.label()
    return ax, ax2

# 需要导入模块: from myquaternaryutility import QuaternaryPlot [as 别名]
# 或者: from myquaternaryutility.QuaternaryPlot import label [as 别名]
if examplenum == 0:
    compvert2 = numpy.array([0.125, 0.125, 0.6, 0.15])
    compvert0 = numpy.array([0.2, 0.2, 0.0, 0.6])
    compvert1 = numpy.array([1.0, 0.0, 0.0, 0])
    critdist = 0.04
    withintriangle = False
elif examplenum == 1:
    compvert2 = numpy.array([0.125, 0.125, 0.6, 0.15])
    compvert0 = numpy.array([0.2, 0.2, 0.0, 0.6])
    compvert1 = numpy.array([1.0, 0.0, 0.0, 0])
    critdist = 0.04
    withintriangle = True

q.scatter(comps, c=comps[:, 3])

q.label(ha="center", va="center", fontsize=16)
q.set_projection(azim=-17, elev=-6)

inds, distfromplane, xyparr, xyp_verts, intriangle = q2.filterbydistancefromplane(
    comps, compvert0, compvert1, compvert2, critdist, withintriangle=withintriangle, invlogic=False, returnall=True
)
indsnot = q2.filterbydistancefromplane(
    comps, compvert0, compvert1, compvert2, critdist, withintriangle=withintriangle, invlogic=True
)
print len(inds), " points"
q2.scatter(comps[inds], c=comps[inds, 3])
q2.scatter(comps[indsnot], c="grey", marker=".", s=5)
q2.line(compvert0, compvert1)
q2.line(compvert1, compvert2)
q2.line(compvert2, compvert0)

# 需要导入模块: from myquaternaryutility import QuaternaryPlot [as 别名]
# 或者: from myquaternaryutility.QuaternaryPlot import label [as 别名]
from myquaternaryutility import QuaternaryPlot

from quaternary_FOM_stackedtern10 import *

ellabels=['Aa', 'Bb', 'Cc', 'Dd']

axl, stpl=make10ternaxes(ellabels=ellabels)

gridi=30
comps_10full=[(a*1./gridi, b*1./gridi, c*1./gridi, (gridi-a-b-c)*1./gridi) for a in numpy.arange(0,1+gridi) for b in numpy.arange(0,1+gridi-a) for c in numpy.arange(0,1+gridi-a-b)]
comps_10full=list(set(comps_10full))
print len(comps_10full)
#plotpoints_cmyk
comps_10full=numpy.array(comps_10full)

pylab.figure()
stpquat=QuaternaryPlot(111, ellabels=ellabels)
cols=stpquat.rgb_comp(comps_10full)
stpquat.scatter(comps_10full, c=cols, s=20, edgecolors='none')
norm=colors.Normalize(vmin=0, vmax=1)
cmap=cm.jet
scatter_10axes(comps_10full, cols, stpl, s=20, edgecolors='none', cb=True, norm=norm, cmap=cmap)
stpquat.label()

pylab.savefig('stackedtern_quat.png')
pylab.figure(axl[0].figure.number)
pylab.savefig('stackedtern.png')

pylab.show()

# 需要导入模块: from myquaternaryutility import QuaternaryPlot [as 别名]
# 或者: from myquaternaryutility.QuaternaryPlot import label [as 别名]
    ax2.set_aspect(1)
    mapbl=ax2.scatter(x, y, c=fom, s=60, marker='s', edgecolors='none', cmap=cmap, norm=norm)
    ax2.set_xlim(x.min()-2, x.max()+2)
    ax2.set_ylim(y.min()-2, y.max()+2)
    ax2.set_title('plate %d' %(count+1))
    #pylab.title('CP1Ess (V) Map')
    
    comp=numpy.array([[dropd['A'][i], dropd['B'][i], dropd['C'][i], dropd['D'][i]] for i in dropinds])
    
    comp=numpy.array([a/a.sum() for a in comp])
    figquat=pylab.figure(figsize=(8, 8))
    stp = QuaternaryPlot(111, minlist=[0., 0., 0., 0.], ellabels=ellabels)

    stp.scatter(comp, c=fom, s=pointsize, edgecolors='none', cmap=cmap, norm=norm)

    stp.label(ha='center', va='center', fontsize=16)

    stp.set_projection(azim=view_azim, elev=view_elev)
    caxquat=figquat.add_axes((.83, .3, .04, .4))
    cb=pylab.colorbar(stp.mappable, cax=caxquat, extend=extend)
    cb.set_label(fomlabel, fontsize=16)
    stp.ax.set_title('plate %d' %(count+1))
    compsall+=list(comp)
    fomall+=list(fom)
    figquatall+=[figquat]
    plateindall+=[count]*len(fom)
    
fig.subplots_adjust(left=.05, bottom=.03, top=.96, right=.83, hspace=.14)
cax=fig.add_axes((.85, .3, .04, .4))
cb=pylab.colorbar(mapbl, cax=cax, extend=extend)
cb.set_label(fomlabel, fontsize=20)

# 需要导入模块: from myquaternaryutility import QuaternaryPlot [as 别名]
# 或者: from myquaternaryutility.QuaternaryPlot import label [as 别名]
    ax2=fig.add_subplot(len(dropdl), 1, count+1)
    ax2.set_aspect(1)
    mapbl=ax2.scatter(x, y, c=fom, s=60, marker='s', edgecolors='none', cmap=cmap, norm=norm)
    ax2.set_xlim(x.min()-2, x.max()+2)
    ax2.set_ylim(y.min()-2, y.max()+2)
    ax2.set_title('plate %d' %(count+1))
    #pylab.title('CP1Ess (V) Map')
    

    figquat=pylab.figure(figsize=(8, 8))
    stp = QuaternaryPlot(111, minlist=[0., 0., 0., 0.], ellabels=ellabels)

    stp.scatter(comp, c=fom, s=pointsize, edgecolors='none', cmap=cmap, norm=norm)

    stp.label(ha='center', va='center', fontsize=20)

    stp.set_projection(azim=view_azim, elev=view_elev)
    caxquat=figquat.add_axes((.83, .3, .04, .4))
    cb=pylab.colorbar(stp.mappable, cax=caxquat, extend=extend)
    cb.set_label(fomlabel, fontsize=16)
    stp.ax.set_title('plate %d' %(count+1))

    figquatall+=[figquat]
compsall=numpy.array(compsall)
fomall=numpy.array(fomall)
plateindall=numpy.array(plateindall)
codeall=numpy.array(codeall)
code0inds=numpy.where(codeall==0)
code02inds=numpy.where(codeall!=1)
code2inds=numpy.where(codeall==2)

# 需要导入模块: from myquaternaryutility import QuaternaryPlot [as 别名]
# 或者: from myquaternaryutility.QuaternaryPlot import label [as 别名]
stpq=QuaternaryPlot(111, ellabels=ellabels)

comps=numpy.array([dropd[elkey] for elkey in elkeys]).T

selectinds, distfromlin, lineparameter=stpq.filterbydistancefromline(comps, compverts[0], compverts[1], critdist, betweenpoints=betweenbool, invlogic=invertbool, returnall=True)
dropd['lineparameter']=lineparameter
dropd['distfromlin']=distfromlin
lineparameter=lineparameter[selectinds]

cols=stpq.rgb_comp(comps[selectinds])
stpq.plotbycolor(comps[selectinds], cols, marker='o', markersize=5, alpha=.6)

stpq.line(compverts[0], compverts[1], lw=2)
#stpq.scatter(comps[selectinds], pointsize
stpq.set_projection(azim=view_azim, elev=view_elev)
stpq.label(fontsize=20)

pylab.savefig(os.path.join(savefolder, 'QuatPoints.png'))

pylab.figure()

for k, v in dropd.iteritems():
#    if k in elkeys or k in ellabels or k in ['Sample', 'x(mm)', 'y(mm)', 'compositions']:
#        continue
    pylab.clf()
    ax=pylab.subplot(111)
    fomselect=v[selectinds]
    stpq.plotfomalonglineparameter(ax, lineparameter, fomselect, compend1=compverts[0], compend2=compverts[1], lineparticks=numpy.linspace(0, 1, 5), ls='none', marker='.', ticklabelkwargdict=dict([('rotation', -20), ('horizontalalignment', 'left')]))
    pylab.ylabel(k)
    pylab.subplots_adjust(bottom=.15, left=.15, right=.8)
    pylab.savefig(os.path.join(savefolder, k+'.png'))

# 需要导入模块: from myquaternaryutility import QuaternaryPlot [as 别名]
# 或者: from myquaternaryutility.QuaternaryPlot import label [as 别名]
import pylab, numpy
from myquaternaryutility import QuaternaryPlot

q=QuaternaryPlot(111)
#t=numpy.linspace(0,1.,5)
#comps=[[a,b,c,d] for a in t for b in t for c in t for d in t if a+b+c+d==1.]
#comps=numpy.float32(comps)

t=numpy.linspace(0,1.,30)

comps=[[a,b,1.-a-b-(2.*a**2+b),2.*a**2+b] for a in t for b in t[:10] if a+b+(2.*a**2+b)<=1.]
comps=numpy.float32(comps)

x, y, z=q.toCart(comps)

q.scatter(comps,c=comps[:,3])
#q.ax.scatter(x, y, z, c=z)

q.plotabcprojection(comps, c=(.4, .4, .4))
q.label(ha='center', va='center', fontsize=16)
q.set_projection(azim=-17, elev=-6)
pylab.show()

# 需要导入模块: from myquaternaryutility import QuaternaryPlot [as 别名]
# 或者: from myquaternaryutility.QuaternaryPlot import label [as 别名]
    def plot(self):
        s = 25
        self.plotw_tern.axes.cla()
        self.plotw_quat.axes.cla()
        self.cbax_quat.cla()
        self.cbax_tern.cla()
        fom = self.fom

        azim = -159.0
        elev = 30.0
        vstr = str(self.azimelevLineEdit.text()).strip()

        if "," in vstr:
            a, b, c = vstr.partition(",")
            try:
                a = myeval(a.strip())
                c = myeval(c.strip())
                self.vmin = a
                self.vmax = c
            except:
                pass
        if self.revcmapCheckBox.isChecked():
            cmap = cm.jet_r
        else:
            cmap = cm.jet

        clip = True
        skipoutofrange = [False, False]
        self.vmin = fom.min()
        self.vmax = fom.max()
        vstr = str(self.vminmaxLineEdit.text()).strip()
        if "," in vstr:
            a, b, c = vstr.partition(",")
            try:
                a = myeval(a.strip())
                c = myeval(c.strip())
                self.vmin = a
                self.vmax = c
                for count, (fcn, le) in enumerate(
                    zip([cmap.set_under, cmap.set_over], [self.belowrangecolLineEdit, self.aboverangecolLineEdit])
                ):
                    vstr = str(le.text()).strip()
                    vstr = vstr.replace('"', "").replace("'", "")
                    print "^^^", vstr, "none" in vstr or "None" in vstr
                    if "none" in vstr or "None" in vstr:
                        skipoutofrange[count] = True
                        continue
                    if len(vstr) == 0:
                        continue
                    c = col_string(vstr)
                    try:
                        fcn(c)
                        clip = False
                    except:
                        print "color entry not understood:", vstr

            except:
                pass
        print "4"
        norm = colors.Normalize(vmin=self.vmin, vmax=self.vmax, clip=clip)
        print "fom min, max, mean, std:", fom.min(), fom.max(), fom.mean(), fom.std()

        comps = self.comps
        # comment out this skipoutofrange becuase it could mess up the indexing
        #        print 'skipoutofrange', skipoutofrange
        #        print len(fom)
        #        if skipoutofrange[0]:
        #            inds=numpy.where(fom>=self.vmin)
        #            fom=fom[inds]
        #            comps=comps[inds]
        #        print len(fom)
        #        if skipoutofrange[1]:
        #            inds=numpy.where(fom<=self.vmax)
        #            fom=fom[inds]
        #            comps=comps[inds]
        #        print len(fom)

        if numpy.any(fom > self.vmax):
            if numpy.any(fom < self.vmin):
                extend = "both"
            else:
                extend = "max"
        elif numpy.any(fom < self.vmin):
            extend = "min"
        else:
            extend = "neither"
        print "extend ", extend

        i = self.ternskipComboBox.currentIndex()
        inds = [j for j in range(4) if j != i][:3]
        terncomps = numpy.array([c[inds] / c[inds].sum() for c in comps])
        reordercomps = comps[:, inds + [i]]
        reorderlabels = [self.ellabels[j] for j in inds + [i]]

        fomselect = fom[self.selectinds]
        compsselect = comps[self.selectinds]
        reordercompsselect = reordercomps[self.selectinds]

        fomlabel = self.dataclass.fomlabel
        self.stackedternplotdict = dict(
#.........这里部分代码省略.........

# 需要导入模块: from myquaternaryutility import QuaternaryPlot [as 别名]
# 或者: from myquaternaryutility.QuaternaryPlot import label [as 别名]
selectinds, distfromplane, xyparr, xyp_verts,intriangle=stpqp.filterbydistancefromplane(comps, compvertsp[0], compvertsp[1], compvertsp[2], critdistp, withintriangle=betweenbool, invlogic=invertbool, returnall=True)
xyparr=xyparr[selectinds]



cols=stpqp.rgb_comp(comps[selectinds])
stpqp.plotbycolor(comps[selectinds], cols, marker='o', markersize=3, alpha=1)

stpqp.line(compvertsp[0], compvertsp[1], lw=2)
stpqp.line(compvertsp[2], compvertsp[1], lw=2)
stpqp.line(compvertsp[0], compvertsp[2], lw=2)

#stpqp.scatter(comps[selectinds], pointsize
stpqp.set_projection(azim=view_azim, elev=view_elev)
stpqp.label(fontsize=20)

pylab.savefig(os.path.join(savefolder, 'QuatPointsPlane.png'))
pylab.savefig(os.path.join(savefolder, 'QuatPointsPlane.eps'))


pylab.figure()
#axq=pylab.subplot(111)
stpql=QuaternaryPlot(111, ellabels=ellabels)



selectinds, distfromlin, lineparameter=stpql.filterbydistancefromline(comps, compverts[0], compverts[1], critdist, betweenpoints=betweenbool, invlogic=invertbool, returnall=True)
dropd['lineparameter']=lineparameter
dropd['distfromlin']=distfromlin
lineparameter=lineparameter[selectinds]

# 需要导入模块: from myquaternaryutility import QuaternaryPlot [as 别名]
# 或者: from myquaternaryutility.QuaternaryPlot import label [as 别名]
##f.close()
#
sys.path.append('C:/Users/Gregoire/Documents/PythonCode/ternaryplot')
from myquaternaryutility import QuaternaryPlot
from quaternary_FOM_stackedtern20 import *

axl, stpl=make20ternaxes()

#
#for d in dlist:
#    c=numpy.array([d[el] for el in ['A', 'B', 'C', 'D']])
#    if c.sum()>0:
#        c/=c.sum()
#    d['compositions']=c

#carr=numpy.array([d['compositions'] for d in dlist])
carr=numpy.array(comps)
pylab.figure()
stpq=QuaternaryPlot(111)
#stpq.scatter(carr)

cols=stpq.rgb_comp(carr)
stpq.scatter(carr, c=cols, s=20, edgecolors='none')

scatter_20axes(carr, cols, stpl, s=20, edgecolors='none', cb=False)
stpq.label()

#axl[0].figure.savefig('C:/Users/Gregoire/Documents/CaltechWork/platemaps/nestedtetr/test2.png')

pylab.show()