def updateFilteredDataLens(self, cond=None):
"""Updates the number of examples that match individual conditions in criteria table.
If cond is given, updates the given row and the corresponding OR row;
if cond==None, updates the number of examples in OR rows.
"""
if cond:
condIdx = self.Conditions.index(cond)
# idx1: the first non-OR condition above the clicked condition
# idx2: the first OR condition below the clicked condition
idx1 = 0
idx2 = len(self.Conditions)
for i in range(condIdx,idx1-1,-1):
if self.Conditions[i].type == "OR":
idx1 = i+1
break
for i in range(condIdx+1,idx2):
if self.Conditions[i].type == "OR":
idx2 = i
break
fdListAll = self.getFilterList(self.data.domain, self.Conditions[idx1:idx2], enabledOnly=False)
fdListEnabled = self.getFilterList(self.data.domain, self.Conditions[idx1:idx2], enabledOnly=True)
# if we click on the row which has a preceeding OR: update OR at index idx1-1
if idx1 > 0:
self.criteriaTable.cellWidget(idx1-1,0).setText(str(len(orange.Filter_conjunction(fdListEnabled[0])(self.data))))
# update the clicked row
self.criteriaTable.cellWidget(condIdx,0).setText(str(len(fdListAll[0][condIdx-idx1](self.data))))
elif len(self.Conditions) > 0:
# update all "OR" rows
fdList = self.getFilterList(self.data.domain, self.Conditions, enabledOnly=True)
idx = 1
for row,cond in enumerate(self.Conditions):
if cond.type == "OR":
self.criteriaTable.cellWidget(row,0).setText(str(len(orange.Filter_conjunction(fdList[idx])(self.data))))
idx += 1
def setOutput(self):
matchingOutput = self.data
nonMatchingOutput = None
hasClass = False
if self.data:
hasClass = bool(self.data.domain.classVar)
filterList = self.getFilterList(self.data.domain, self.Conditions, enabledOnly=True)
if len(filterList)>0:
filter = orange.Filter_disjunction([orange.Filter_conjunction(l) for l in filterList])
else:
filter = orange.Filter_conjunction([]) # a filter that does nothing
matchingOutput = filter(self.data, 1)
matchingOutput.name = self.data.name
nonMatchingOutput = filter(self.data, 1, negate=1)
nonMatchingOutput.name = self.data.name
if self.purgeAttributes or self.purgeClasses:
remover = orange.RemoveUnusedValues(removeOneValued=True)
newDomain = remover(matchingOutput, 0, True, self.purgeClasses)
if newDomain != matchingOutput.domain:
matchingOutput = orange.ExampleTable(newDomain, matchingOutput)
newDomain = remover(nonMatchingOutput, 0, True, self.purgeClasses)
if newDomain != nonMatchingOutput.domain:
nonmatchingOutput = orange.ExampleTable(newDomain, nonMatchingOutput)
self.send("Matching Data", matchingOutput)
self.send("Unmatched Data", nonMatchingOutput)
self.updateInfoOut(matchingOutput)
def setOutput(self):
matchingOutput = self.data
nonMatchingOutput = None
hasClass = False
if self.data:
hasClass = bool(self.data.domain.classVar)
filterList = self.getFilterList(self.data.domain, self.Conditions, enabledOnly=True)
if len(filterList)>0:
filter = orange.Filter_disjunction([orange.Filter_conjunction(l) for l in filterList])
else:
filter = orange.Filter_conjunction([]) # a filter that does nothing
matchingOutput = filter(self.data, 1)
matchingOutput.name = self.data.name
nonMatchingOutput = filter(self.data, 1, negate=1)
nonMatchingOutput.name = self.data.name
if self.purgeAttributes or self.purgeClasses:
##scPA Using instead the method getDataWithoutUnusedValues of dataUtilities
matchingOutput = dataUtilities.getDataWithoutUnusedValues(matchingOutput, self.purgeClasses)
nonmatchingOutput = dataUtilities.getDataWithoutUnusedValues(nonMatchingOutput, self.purgeClasses)
#remover = orange.RemoveUnusedValues(removeOneValued=True)
#newDomain = remover(matchingOutput, 0, True, self.purgeClasses)
#if newDomain != matchingOutput.domain:
# matchingOutput = orange.ExampleTable(newDomain, matchingOutput)
#newDomain = remover(nonMatchingOutput, 0, True, self.purgeClasses)
#if newDomain != nonMatchingOutput.domain:
# nonmatchingOutput = orange.ExampleTable(newDomain, nonMatchingOutput)
##ecPA
self.send("Matching Examples", matchingOutput)
self.send("Non-Matching Examples", nonMatchingOutput)
self.updateInfoOut(matchingOutput)
print "\n\nYoung and presbyopic examples\n"
for ex in fya(data):
print ex
astigm = data.domain["astigmatic"]
fya["age"] = ["presbyopic", "young"]
fya[astigm] = "yes"
print "\n\nYoung and presbyopic examples that are astigmatic\n"
for ex in fya(data):
print ex
fr = orange.Filter_values(domain=data.domain)
fr[3] = "reduced"
# Conjunction is not necessary here - we could still do this with a single filter
fcon = orange.Filter_conjunction([fya, fr])
print "\n\nYoung and presbyopic examples that are astigmatic and have reduced tear rate\n"
for ex in fcon(data):
print ex
fcon = orange.Filter_disjunction([fya, fr])
print "\n\nYoung and presbyopic asticmatic examples and examples that have reduced tear rate\n"
for ex in fcon(data):
print ex
############ THIS IS WHAT YOU CAN DO WITH CONTINUOUS ATTRIBUTES
data = orange.ExampleTable("iris")
fcont = orange.Filter_values(domain=data.domain)
fcont[0] = (orange.ValueFilter.Equal, 4.59999999999999
