def showMap(self,
imageNumber,
neuronSize,
shareIntensity=False,
borderWidth=2,
facecolor='#ffaadd'):
print(shareIntensity)
if facecolor != "#ffaadd":
print(
"WARNING! using non recommended background color! The results will look ugly."
)
figure = pyplot.figure(figsize=(16, 16))
figure.patch.set_alpha(0.0)
figure.patch.set_facecolor(facecolor)
pyplot.subplots_adjust(left=0.01,
right=0.99,
bottom=0.01,
top=0.99,
wspace=0.1,
hspace=0.1)
if self.__som_layout == 1:
print("hexagonal map")
image = tools.calculate_map(self.__somWidth,
self.__somHeight,
self.__maps[imageNumber],
neuronSize,
neuronSize,
shareIntensity=shareIntensity,
border=borderWidth,
shape="hex")
else:
print("cartesian map")
image = tools.calculate_map(self.__somWidth,
self.__somHeight,
self.__maps[imageNumber],
neuronSize,
neuronSize,
shareIntensity=shareIntensity,
border=borderWidth,
shape="box")
ax = pyplot.subplot()
cmap = matplotlib.cm.get_cmap("jet")
cmap.set_bad(facecolor, 1.)
#Uses image.T because the file is read in as C notation when it's actually Fortran notation.
ax.imshow(image.T, aspect=1, interpolation="nearest", cmap=cmap)
ax.set_xticks([])
ax.set_yticks([])
ax.axis("off")
fileName = save + '/' + name + '%d.pdf' % imageNumber
pyplot.savefig(fileName, bbox_inches='tight', dpi=150)
if (display == 1):
pyplot.show()
def showMap(self, channel, shareIntensity = True, borderWidth = 2, facecolor = '#ffaadd'):
print(shareIntensity)
if facecolor != "#ffaadd":
print ("WARNING! using non recommended background color! The results will look ugly.")
figure = pyplot.figure(figsize=(16, 16))
figure.patch.set_alpha(0.0)
figure.patch.set_facecolor(facecolor)
pyplot.subplots_adjust(left = 0.01, right = 0.99, bottom = 0.01, top = 0.99, wspace = 0.1, hspace = 0.1)
start=int(len(self.__neurons[0]) / self.__numberOfChannels * channel)
end=int(len(self.__neurons[0]) / self.__numberOfChannels * (channel+1))
if self.isHexMap():
print ("hexagonal map")
image = tools.calculate_map(self.__somWidth, self.__somHeight, self.__neurons[:,start:end], self.__neuronWidth, self.__neuronHeight, shareIntensity=shareIntensity, border=borderWidth, shape="hex")
else:
print ("quadratic map")
image = tools.calculate_map(self.__somWidth, self.__somHeight, self.__neurons[:,start:end], self.__neuronWidth, self.__neuronHeight, shareIntensity=shareIntensity, border=borderWidth, shape="box")
ax = pyplot.subplot()
if somColor==0:
cmap = matplotlib.cm.get_cmap("jet")
else:
if channel==0:
cmap = matplotlib.cm.get_cmap("Blues")
elif channel==1:
cmap = matplotlib.cm.get_cmap("Reds")
elif channel==2:
cmap = matplotlib.cm.get_cmap("Greens")
elif channel==3:
cmap = matplotlib.cm.get_cmap("Purples")
elif channel==4:
cmap = matplotlib.cm.get_cmap("Greys")
elif channel==5:
cmap = matplotlib.cm.get_cmap("Oranges")
else:
cmap = matplotlib.cm.get_cmap()
cmap.set_bad(facecolor,1.)
#Uses image.T because the file is read in as C notation when it's actually Fortran notation.
ax.imshow(image.T, aspect=1, interpolation="nearest", cmap=cmap)
ax.set_xticks([])
ax.set_yticks([])
ax.axis("off")
fileName = save+'/'+name+'%d.pdf' %channel
pyplot.savefig(fileName,bbox_inches='tight',dpi=150)
if(display==1):
pyplot.show()