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_shells(ax, nintervals=intervs)
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)
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_shells(ax, nintervals=intervs)
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)
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)
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)
np.arange(0, intervs + 1 - a) for c in np.arange(0, intervs + 1 - a - b)][::-1]
print len(compsint)
comps = np.float32(compsint) / intervs
# Declaration of the figure with the given number of columns and rows
fig, axis = plt.subplots(nrows=nrows, ncols=ncols, sharex=True, sharey=True)
# Iteration over every axis where the data is used to plot the ternary_shells
points_list = []
for i in range(0, nrows, 1):
for j in range(0, ncols, 1):
# Get the object QuaternaryPlot
stpquat = QuaternaryPlot()
cols = stpquat.rgb_comp(comps)
tf = ternaryfaces_shells(axis[i][j], ellabels, nintervals=intervs)
tf.label()
#Saves all tthe picked data inside a list for the color changing
points_list.append(tf.scatter(comps, cols, skipinds=[0, 1, 2, 3], s=None))
# Pick event for changing color of the picked Data
def onpick(event):
event.artist._facecolors[event.ind, :] = (1, 0, 0, 1)
fig.canvas.draw()
# A Press event executed on mouse-clicks
# It takes the clicked coordinates and turns them into the comp coordinates
# Closes the program after reaching the number of measurments
def on_press(event):
global n_click
print len(compsint)
comps=numpy.float32(compsint)/intervs
pylab.figure()
stpquat=QuaternaryPlot(111)
cols=stpquat.rgb_comp(comps)
stpquat.scatter(comps, c=cols, s=1200, edgecolors='none')
stpquat.label()
pylab.figure()
ax=pylab.gca()
tf=ternaryfaces_shells(ax, nintervals=intervs)
tf.label()
#inds_x_y=tf.toCart(comps)
tf.scatter(comps, cols, skipinds=[0, 1, 2, 3], s='patch')
#pylab.figure(figsize=(12, 4))
#tf.quatscatter(comps, cols, s=200, fontsize=0, azim=72, elev=20, edgecolor='none', outline=True)
#pylab.subplots_adjust(left=0, right=1, bottom=0, top=1, wspace=0, hspace=0)
#pylab.savefig('//htejcap.caltech.edu/share/home/users/hte/catalysts on BVO/IJonFTOandBVOsummaries/compdemo.svg')
pylab.figure(figsize=(12, 4))
#tf.quatscatter(comps, cols, s=200, fontsize=0, azim=72, elev=20, edgecolor='none', outline=False, alphaall=0.1, alphashell=1)
pylab.subplots_adjust(left=0, right=1, bottom=0, top=1, wspace=0, hspace=0)
tf.quatplot3D(comps, cols, marker='o', markersize=14, fontsize=0, azim=72, elev=20, markeredgecolor='none', outline=False, alphaall=0.1, alphashell=1)
#pylab.savefig('//htejcap.caltech.edu/share/home/users/hte/catalysts on BVO/IJonFTOandBVOsummaries/compdemo.png', dpi=400)
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()
pylab.figure()
ax = pylab.gca()
tf = ternaryfaces_shells(ax, nintervals=intervs)
tf.label()
#inds_x_y=tf.toCart(comps)
tf.scatter(comps, cols, skipinds=[0, 1, 2, 3], s='patch')
#pylab.figure(figsize=(12, 4))
#tf.quatscatter(comps, cols, s=200, fontsize=0, azim=72, elev=20, edgecolor='none', outline=True)
#pylab.subplots_adjust(left=0, right=1, bottom=0, top=1, wspace=0, hspace=0)
#pylab.savefig('//htejcap.caltech.edu/share/home/users/hte/catalysts on BVO/IJonFTOandBVOsummaries/compdemo.svg')
pylab.figure(figsize=(12, 4))
#tf.quatscatter(comps, cols, s=200, fontsize=0, azim=72, elev=20, edgecolor='none', outline=False, alphaall=0.1, alphashell=1)
pylab.subplots_adjust(left=0, right=1, bottom=0, top=1, wspace=0, hspace=0)
tf.quatplot3D(comps,
cols,
# Declaration of the figure with the given number of columns and rows
fig, axis = plt.subplots(nrows=nrows, ncols=ncols, sharex=True, sharey=True)
# Map elements in groups of 4
elemnt_groups = help.map_elemnts(ellabels, grouping, nrows, ncols)
# Iteration over every axis where the data is used to plot the ternary_shells
points_list = []
subplot_list = []
for i in range(0, nrows, 1):
for j in range(0, ncols, 1):
# Get the object QuaternaryPlot
# color[i][j] = np.random.choice(range(256))
stpquat = QuaternaryPlot()
cols = stpquat.rgb_comp(comps)
tf = ternaryfaces_shells(axis[i][j], elemnt_groups[i][j], nintervals=intervs)
tf.label()
# Saves all tthe picked data inside a list for the color changing
#comps --> comps[i][j]
points_list.append(tf.scatter(comps, cols * 0, skipinds=[0, 1, 2, 3], s=None))
# subplot_list.append(tf)
# Pick event for changing color of the picked Data
def onpick(event):
global subplot_pick_color
event.artist._facecolors[event.ind, :] = subplot_pick_color
fig.canvas.draw()
