def shortData(self, evt):
functionName = "short"
useNumpy = False
requiredcols = None
group = lambda x, y: (x, y)
setting = self.defaultDialogSettings
setting["Title"] = functionName
setting["_size"] = wx.Size(220, 200)
ColumnList, colnums = wx.GetApp().frame.grid.GetUsedCols()
bt1 = group("StaticText", ("Select the column to short",))
bt2 = group("Choice", (ColumnList,))
structure = list()
structure.append([bt1, ])
structure.append([bt2, ])
dlg = dialog(settings=setting, struct=structure)
if dlg.ShowModal() == wx.ID_OK:
values = dlg.GetValue()
dlg.Destroy()
else:
dlg.Destroy()
return
# -------------------
# changing value strings to numbers
colNameSelect = values[0]
if len(colNameSelect) == 0:
self.logPanel.write("You haven't selected any items!")
return
if len(colNameSelect) < None:
self.logPanel.write("You have to select at least %i columns" % requiredcols)
return
values = [[pos for pos, value in enumerate(ColumnList)
if value == val
][0]
for val in colNameSelect
]
# -------------------
if useNumpy:
colums = list()
for pos in values:
short = stats.shellsort(self.grid.CleanData(colnums[pos]))[0]
col = numpy.array(short)
col.shape = (len(col), 1)
colums.append(col)
else:
colums = stats.shellsort(self.grid.CleanData(colnums[values[0]]))
# se muestra los resultados
# wx.GetApp().output.addColData(colNameSelect, functionName)
# wx.GetApp().output.addColData(colums[0])
# wx.GetApp().output.addColData(colums[1])
# wx.GetApp().output.addRowData(['',"shorted Data","original position"], currRow= 0)
wx.GetApp().grid.PutCol(colNameSelect, colums[0])
# wx.GetApp().grid.PutCol(colums[0])
# wx.GetApp().grid.PutCol(colums[1])
self.logPanel.write(functionName + " successful")
def test_shellsort(self):
"Testing shellsort"
result = [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 34]
i = 0
for f in result: # we'll look at the first results only
self.EQ( stats.shellsort( self.M )[0][i], f )
i += 1
def test_shellsort(self):
"Testing shellsort"
result = [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 34]
i = 0
for f in result: # we'll look at the first results only
self.EQ( stats.shellsort( self.M )[0][i], f )
i += 1
m = list(range(4, 24))
m[10] = 34
b = N.array(m)
print('\n\nF_oneway:')
print(stats.F_oneway(l, m))
print(stats.F_oneway(a, b))
#print 'F_value:',stats.F_value(l),stats.F_value(a)
print('\nSUPPORT')
print('sum:', stats.sum(l), stats.sum(lf), stats.sum(a), stats.sum(af))
print('cumsum:')
print(stats.cumsum(l))
print(stats.cumsum(lf))
print(stats.cumsum(a))
print(stats.cumsum(af))
print('ss:', stats.ss(l), stats.ss(lf), stats.ss(a), stats.ss(af))
print('summult:', stats.summult(l, m), stats.summult(lf, m),
stats.summult(a, b), stats.summult(af, b))
print('sumsquared:', stats.square_of_sums(l), stats.square_of_sums(lf),
stats.square_of_sums(a), stats.square_of_sums(af))
print('sumdiffsquared:', stats.sumdiffsquared(l, m),
stats.sumdiffsquared(lf, m), stats.sumdiffsquared(a, b),
stats.sumdiffsquared(af, b))
print('shellsort:')
print(stats.shellsort(m))
print(stats.shellsort(b))
print('rankdata:')
print(stats.rankdata(m))
print(stats.rankdata(b))
a = N.array(l) ll = [l]*5 aa = N.array(ll) m = range(4,24) m[10] = 34 b = N.array(m) print '\n\nF_oneway:' print stats.F_oneway(l,m) print stats.F_oneway(a,b) #print 'F_value:',stats.F_value(l),stats.F_value(a) print '\nSUPPORT' print 'sum:',stats.sum(l),stats.sum(lf),stats.sum(a),stats.sum(af) print 'cumsum:' print stats.cumsum(l) print stats.cumsum(lf) print stats.cumsum(a) print stats.cumsum(af) print 'ss:',stats.ss(l),stats.ss(lf),stats.ss(a),stats.ss(af) print 'summult:',stats.summult(l,m),stats.summult(lf,m),stats.summult(a,b),stats.summult(af,b) print 'sumsquared:',stats.square_of_sums(l),stats.square_of_sums(lf),stats.square_of_sums(a),stats.square_of_sums(af) print 'sumdiffsquared:',stats.sumdiffsquared(l,m),stats.sumdiffsquared(lf,m),stats.sumdiffsquared(a,b),stats.sumdiffsquared(af,b) print 'shellsort:' print stats.shellsort(m) print stats.shellsort(b) print 'rankdata:' print stats.rankdata(m) print stats.rankdata(b)
m = range(4, 24)
m[10] = 34
b = N.array(m)
print '\n\nF_oneway:'
print stats.F_oneway(l, m)
print stats.F_oneway(a, b)
#print 'F_value:',stats.F_value(l),stats.F_value(a)
print '\nSUPPORT'
print 'sum:', stats.sum(l), stats.sum(lf), stats.sum(a), stats.sum(af)
print 'cumsum:'
print stats.cumsum(l)
print stats.cumsum(lf)
print stats.cumsum(a)
print stats.cumsum(af)
print 'ss:', stats.ss(l), stats.ss(lf), stats.ss(a), stats.ss(af)
print 'summult:', stats.summult(l, m), stats.summult(lf, m), stats.summult(
a, b), stats.summult(af, b)
print 'sumsquared:', stats.square_of_sums(l), stats.square_of_sums(
lf), stats.square_of_sums(a), stats.square_of_sums(af)
print 'sumdiffsquared:', stats.sumdiffsquared(l, m), stats.sumdiffsquared(
lf, m), stats.sumdiffsquared(a, b), stats.sumdiffsquared(af, b)
print 'shellsort:'
print stats.shellsort(m)
print stats.shellsort(b)
print 'rankdata:'
print stats.rankdata(m)
print stats.rankdata(b)
