def linePlotFunction(function,
start,
stop,
step,
title,
xlabel,
ylabel,
fileNamePostfix=''):
fig, ax = plt.subplots(1,
1,
figsize=latexFormatPlotter.set_size(
latexFormatPlotter.textwidthBeamer))
points = np.arange(start, stop, step)
transformedPoints = list(map(function, points))
ax.plot(points, transformedPoints)
ax.set_title(title)
ax.set_xlabel(xlabel)
ax.set_ylabel(ylabel)
title = title + fileNamePostfix
plt.savefig('plots/beamer/' + title.replace(' ', '') + '.pdf',
format='pdf',
bbox_inches='tight')
#plt.show()
plt.close(fig)
def plotAsLineInc(dataList, labeling, title, std=None, fileNamePostfix=''):
fig, ax = plt.subplots(1,
1,
figsize=latexFormatPlotter.set_size(
latexFormatPlotter.textwidthBeamer))
markers = itertools.cycle(('--s', '--x', '--^', '--o', '--*'))
for num, data in enumerate(dataList):
data_y = data
data_x = np.arange(len(data)) + 1
data_y = np.round(data_y * 100, decimals=1)
ax.plot(data_x, data_y, next(markers), label=labeling[num])
if std:
curStd = std[num]
curStd = np.round(curStd * 100, decimals=1)
print(curStd)
ax.fill_between(data_x,
data_y - curStd,
data_y + curStd,
alpha=0.3)
ax.set_ylim([0, 100])
ax.set_xlabel(r'Class Increment')
ax.set_ylabel(r'F1\%')
ax.set_title(title)
ax.legend().get_frame().set_alpha(0.5)
title = title + fileNamePostfix
plt.savefig('plots/beamer/' + title.replace(' ', '') + '.pdf',
format='pdf',
bbox_inches='tight')
plt.close(fig)
def plotAsBarRepr(data,
xLabeling,
hidLegend,
title,
std=None,
numberPoints=4,
fileNamePostfix=''):
fig, ax = plt.subplots(1,
1,
figsize=latexFormatPlotter.set_size(
latexFormatPlotter.textwidthBeamer))
#transform to percentage
data = np.round(data * 100, decimals=1)
if np.any(std):
std = np.round(std * 100, decimals=1)
totalGroups = len(data) / numberPoints
print(totalGroups)
totalGroups = int(totalGroups)
data = np.reshape(data, (totalGroups, -1))
std = np.reshape(std, (totalGroups, -1))
width = 0.27
allRects = []
for ind, subData in enumerate(data):
indices = np.arange(numberPoints) + 1
rects = ax.bar(indices + (ind - 1) * width,
subData,
width,
yerr=std[ind])
allRects.append(rects)
ax.set_xticks(indices)
ax.set_xticklabels(xLabeling, minor=False)
colors = mpl.cm.get_cmap(name='Paired')
for j, rects in enumerate(allRects):
for i, rect in enumerate(rects):
colorIndex = j
rect.set_facecolor(colors(colorIndex))
ax.set_ylim([0, 100])
ax.set_xlabel(r'Mel Bins')
ax.set_ylabel(r'F1\%')
ax.set_title(title)
if hidLegend:
legIndices = list(
map(
int,
np.linspace(0,
len(allRects),
num=len(hidLegend),
endpoint=False)))
print(legIndices)
legList = []
for ind in legIndices:
legList.append(allRects[ind][0])
ax.legend(legList, hidLegend)
title = title + fileNamePostfix
plt.savefig('plots/beamer/' + title.replace(' ', '') + '.pdf',
format='pdf',
bbox_inches='tight')
plt.close(fig)
def plotAsBarReprOld(data,
xLabeling,
hidLegend,
title,
std=None,
numberPoints=4,
fileNamePostfix=''):
fig, ax = plt.subplots(1,
1,
figsize=latexFormatPlotter.set_size(
latexFormatPlotter.textwidthBeamer))
ind = np.arange(len(data)) + 1
#transform to percentage
data = np.round(data * 100, decimals=1)
if np.any(std):
std = np.round(std * 100, decimals=1)
rects1 = ax.bar(ind, data, yerr=std)
ax.set_xticks(ind)
ax.set_xticklabels(xLabeling, minor=False)
#colors=['r','y','g']
colors = mpl.cm.get_cmap(name='Paired') #.to_rgba(np.arange(3))
for i, rect in enumerate(rects1):
if hidLegend:
if len(hidLegend) < 3:
colorIndex = (i + numberPoints) // numberPoints
else:
colorIndex = i // numberPoints
else:
colorIndex = i // numberPoints
rect.set_facecolor(colors(colorIndex))
ax.set_ylim([25, 90])
ax.set_xlabel(r'Mel Bins')
ax.set_ylabel(r'F1\%')
ax.set_title(title)
if hidLegend:
legIndices = list(
map(
int,
np.linspace(0, len(rects1), num=len(hidLegend),
endpoint=False)))
print(legIndices)
legList = []
for ind in legIndices:
legList.append(rects1[ind])
ax.legend(legList, hidLegend)
title = title + fileNamePostfix
plt.savefig('plots/beamer/' + title.replace(' ', '') + '.pdf',
format='pdf',
bbox_inches='tight')
plt.close(fig)
def plotAsLinePlot(data, basefile, maxNum):
for num, example in enumerate(data):
fig, ax = plt.subplots(1,
1,
figsize=latexFormatPlotter.set_size(
latexFormatPlotter.textwidthThesis),
num=num)
plt.plot(example.T)
plt.savefig(basefile + str(num) + '.pdf',
format='pdf',
bbox_inches='tight')
plt.close(fig)
if num > maxNum:
break
def scatterNoveltyPlotWithLabel(data,
labelArray,
novelIndex,
legend,
title,
fileNamePostfix=''):
fig, (ax1, ax2) = plt.subplots(1,
2,
figsize=latexFormatPlotter.set_size(
latexFormatPlotter.textwidthBeamer))
colorMap = mpl.cm.get_cmap(name='Paired')
maxLabel = np.max(labelArray)
colorsArray = colorMap(labelArray / maxLabel, alpha=1)
nonNovelData = data[labelArray < novelIndex]
nonNovelLabels = colorsArray[labelArray < novelIndex]
ax1.scatter(nonNovelData[:, 0],
nonNovelData[:, 1],
c=nonNovelLabels,
edgecolors='k',
s=20)
ax2.scatter(data[:, 0], data[:, 1], c=colorsArray, edgecolors='k', s=20)
ax1.tick_params(axis='both',
bottom=False,
left=False,
labelbottom=False,
labelleft=False)
ax2.tick_params(axis='both',
bottom=False,
left=False,
labelbottom=False,
labelleft=False)
ax2.set_alpha(0.1)
ax1.set_title('Training time')
ax2.set_title('Testing time')
title = title + fileNamePostfix
plt.savefig('plots/beamer/' + title.replace(' ', '') + '.pdf',
format='pdf',
bbox_inches='tight')
#plt.show()
plt.close(fig)
def plotAsPcolor(data, basefile, maxNum, ylabel='Mel-bin'):
for num, example in enumerate(data):
fig, ax = plt.subplots(1,
1,
figsize=latexFormatPlotter.set_size(
latexFormatPlotter.textwidthThesis),
num=num)
plt.pcolormesh(example.T,
edgecolor='none',
rasterized=True,
cmap='magma')
ax.axvline(x=50)
ax.set_ylabel(ylabel)
ax.set_xlabel('Frames')
plt.savefig(basefile + str(num) + '.pdf',
format='pdf',
bbox_inches='tight')
plt.close(fig)
if num > maxNum:
break
def plot2DHelper(self, fileName, nodeDataArray, edgesDataArray, labelArray,
edgeNodeMapArray):
fig, ax = plt.subplots(1,
1,
figsize=latexFormatPlotter.set_size(
latexFormatPlotter.textwidthBeamer))
colorMap = mpl.cm.get_cmap(name='Paired')
maxLabel = numpy.max(labelArray)
colorsArray = colorMap(labelArray / maxLabel, alpha=1)
classes = range(int(maxLabel) + 1)
classNames = [
'background', 'clearthroat', 'cough', 'doorslam', 'drawer',
'keyboard', 'keys', 'knock', 'laughter', 'pageturn', 'phone',
'speech'
]
class_colours = list(
map(colorMap, map(lambda x: x / (maxLabel * 1.0), classes)))
recs = []
for i in range(0, len(class_colours)):
recs.append(
mpl.patches.Rectangle((0, 0), 1, 1, fc=class_colours[i]))
plt.scatter(nodeDataArray[:, 0],
nodeDataArray[:, 1],
c=colorsArray,
edgecolors='k',
s=20)
plt.legend(recs, classes, loc='best').get_frame().set_alpha(0.5)
ax.tick_params(axis='both',
bottom=False,
left=False,
labelbottom=False,
labelleft=False)
plt.savefig(fileName, format='pdf', bbox_inches='tight')
for i in range(0, edgesDataArray.shape[0], 2):
plt.plot(edgesDataArray[i:i + 2, 0],
edgesDataArray[i:i + 2, 1],
c=colorsArray[int(edgeNodeMapArray[i])])
plt.savefig(fileName[:-4] + '_withEdges.pdf',
format='pdf',
bbox_inches='tight')
plt.close(fig)
def plotAsLineNodeF1(dataList, labeling, title, fileNamePostfix=''):
fig, ax = plt.subplots(1,
1,
figsize=latexFormatPlotter.set_size(
latexFormatPlotter.textwidthBeamer))
markers = itertools.cycle(('--s', '--x', '--^', '--o', '--*'))
for num, data in enumerate(dataList):
data_x, data_y = data
data_y = np.round(data_y * 100, decimals=1)
ax.plot(data_x, data_y, next(markers), label=labeling[num])
ax.set_ylim([20, 100])
ax.set_xlabel(r'Number Nodes')
ax.set_ylabel(r'F1\%')
ax.set_title(title)
ax.legend()
title = title + fileNamePostfix
plt.savefig('plots/beamer/' + title.replace(' ', '') + '.pdf',
format='pdf',
bbox_inches='tight')
plt.close(fig)
#ax2.pcolor(labels,edgecolor='none',rasterized=True)
#vline1 = ax1.axvline(x=0)
#vline2 = ax2.axvline(x=0)
#plt.savefig(basefile+str(num)+'.png')
#ax1.set_ylabel('Mel Bins')
#ax2.set_ylabel('Event Label')
#ax2.set_xlabel('Frames')
#plt.savefig('plots/beamer/fullLength.pdf', format='pdf', bbox_inches='tight')
#plt.close(fig)
#actualEvents = np.nonzero(labels[0:5,:])
#labels[actualEvents] = labels[actualEvents] + 1
labels[0:maxLabel + 1, :] = labels[0:maxLabel + 1, :] + 0.25
fig, ax2 = plt.subplots(1,
1,
figsize=latexFormatPlotter.set_size(
latexFormatPlotter.textwidthBeamer))
#ax1.pcolor(spec,edgecolor='none',rasterized=True,cmap='magma') #TODO: plot call on ax object instead?
ax2.pcolor(labels, edgecolor='none', rasterized=True)
#vline1 = ax1.axvline(x=0)
#vline2 = ax2.axvline(x=0)
#plt.savefig(basefile+str(num)+'.png')
#ax1.set_ylabel('Mel Bins')
ax2.set_ylabel('Event Label')
ax2.set_xlabel('Frames')
plt.savefig('plots/beamer/withHalfIncreased.pdf',
format='pdf',
bbox_inches='tight')
plt.close(fig)
fig, ax2 = plt.subplots(1,
1,
