def process(self):
params = {}
print(self.tableWidget.rowCount())
for i in range(self.tableWidget.rowCount()):
a = self.tableWidget.item(i, 0)
b = self.tableWidget.item(i, 1)
params[str(a.text())] = int(b.text())
# print "params",params
outpN = self.tableWidget.item(0, 0)
#params = {"none": "none", "output_length": outpN}
'''
if self.currentdata==[]:
data = self.prc.preprocData(self.flowData, params)
else:
data = self.prc.preprocData(self.currentdata, params)
'''
#self.dc.setCurrentDataFlowObject(data)
#print data
if params==[]:
data = self.prc.preprocData(self.flowData, params)
elif params!=[]:
data = self.prc.preprocData(self.flowData, params)
self.plot.del_all_items()
print data
print type(data)
self.plot.add_item(make.curve(range(0, len(data)), data))
self.rangeSelection = make.range(-2, 2)
disp0 = make.range_info_label(self.rangeSelection, 'BR', u"x = %.1f +- %.1f cm",
title="Range infos")
#self.plot.add_item(self.rangeSelection)
#self.plot.add_item(disp0)
self.plot.replot()
#self.dc.setCurrentDataFlowObject(data)
self.dc.preprocData = data
self.currentdata = np.reshape(data, (-1, 1))
def test():
"""Test"""
# -- Create QApplication
import guidata
_app = guidata.qapplication()
# --
from numpy import linspace, sin, trapz
x = linspace(-10, 10, 1000)
y = sin(sin(sin(x)))
curve = make.curve(x, y, "ab", "b")
range = make.range(-2, 2)
disp0 = make.range_info_label(range, "BR", "x = %.1f ± %.1f cm", title="Range infos")
disp1 = make.computation(range, "BL", "trapz=%g", curve, lambda x, y: trapz(y, x))
disp2 = make.computations(
range,
"TL",
[
(curve, "min=%.5f", lambda x, y: y.min()),
(curve, "max=%.5f", lambda x, y: y.max()),
(curve, "avg=%.5f", lambda x, y: y.mean()),
],
)
legend = make.legend("TR")
plot(curve, range, disp0, disp1, disp2, legend)
def test():
"""Test"""
# -- Create QApplication
import guidata
_app = guidata.qapplication()
# --
from numpy import linspace, sin, trapz
x = linspace(-10, 10, 1000)
y = sin(sin(sin(x)))
curve = make.curve(x, y, "ab", "b")
range = make.range(-2, 2)
disp0 = make.range_info_label(range,
"BR",
"x = %.1f ± %.1f cm",
title="Range infos")
disp1 = make.computation(range, "BL", "trapz=%g", curve,
lambda x, y: trapz(y, x))
disp2 = make.computations(
range,
"TL",
[
(curve, "min=%.5f", lambda x, y: y.min()),
(curve, "max=%.5f", lambda x, y: y.max()),
(curve, "avg=%.5f", lambda x, y: y.mean()),
],
)
legend = make.legend("TR")
plot(curve, range, disp0, disp1, disp2, legend)
def loadData(self):
self.trainingData = self.dataController.loadSampleData()
self.plot.add_item(make.curve(range(0, self.trainingData.shape[0]), self.trainingData["PIR"][:]))
self.rangeSelection = make.range(-2, 2)
disp0 = make.range_info_label(self.rangeSelection, 'BR', u"x = %.1f +- %.1f cm",
title="Range infos")
self.plot.add_item(self.rangeSelection)
self.plot.add_item(disp0)
self.plot.replot()
def loadData(self):
self.trainingData = self.dataController.loadSampleData()
import logic.DimensionalityReduceControl as controller
c = controller.DimensionalityReduceControl()
c.selectAlgorithm(2)
outpN = 100
params = {"none": "none", "output_length": outpN}
data = c.reduceData(self.trainingData["PIR"][:],params)
print data
self.plot.add_item(make.curve(range(0, len(data)), data))
self.rangeSelection = make.range(-2, 2)
disp0 = make.range_info_label(self.rangeSelection, 'BR', u"x = %.1f +- %.1f cm",
title="Range infos")
self.plot.add_item(self.rangeSelection)
self.plot.add_item(disp0)
self.plot.replot()
def process(self):
params = {}
for i in range(self.tableWidget.rowCount()):
a = self.tableWidget.item(i, 0)
b = self.tableWidget.item(i, 1)
params[str(a.text())] = int(b.text())
print "params", params
outpN = self.tableWidget.item(0, 0)
#params = {"none": "none", "output_length": outpN}
r = np.array(range(len(self.dc.dimrecprocData))).reshape(len(self.dc.dimrecprocData), 1)
s = np.array(self.dc.dimrecprocData).reshape(len(self.dc.dimrecprocData), 1)
rs = np.hstack((s, s))
labels = self.fec.extractFeature(rs, params)
print labels
self.plot.del_all_items()
self.plot.replot()
self.plot.add_item(
make.curve(range(0, len(self.dc.dimrecprocData)), self.dc.dimrecprocData))
from guiqwt.styles import AnnotationParam
i = 0
i_beg = 0
i_end = 0
while i < len(labels):
cur = labels[i_end]
if i < len(labels) - 1:
if labels[i_end + 1] != cur:
i_end = i
from guiqwt.annotations import AnnotatedRectangle
param = AnnotationParam()
param.title = str(labels[int(i_beg)])
param.show_computations = False
anno = AnnotatedRectangle(r[int(i_beg)], self.dc.dimrecprocData[int(i_beg)], int(i_end), self.dc.dimrecprocData[r[int(i_end)]], param) #TODO: y axis scaling
self.plot.add_item(anno)
i_beg = i_end
print "s1"
else:
i_end = i
print "s2"
print "s3"
print "s4", i_end, len(labels)
i += 1
self.rangeSelection = make.range(-2, 2)
disp0 = make.range_info_label(self.rangeSelection, 'BR', u"x = %.1f +- %.1f cm",
title="Range infos")
#self.plot.add_item(self.rangeSelection)
#self.plot.add_item(disp0)
#self.dc.setCurrentDataFlowObject(self.flowData)
self.dc.featureexData = self.flowData
self.dc.setCurrentLabels(labels)
print(self.dc.setCurrentLabels)
#ToDo: Check that following line, make property in data controller
self.dc.dimrecprocData = rs
self.plot.replot()
self.currentdata = np.reshape(labels, (-1, 1))
