def testrun():
tab = Table()
tab.data = [('info1', 1, 2, 'op1'), ('info2', 2, 3, 3), ('info3', 3, 4, 3),
('info4', 4, 5, 3), ('info5', 5, 6, 3), ('info6', 6, 7, 3),
(9, 7, 8, 3)]
tab.columnames = ['a', 'b', 'c', 'd']
print tab
dfrm = table2dataframe(tab)
print dfrm
ntab = dataframe2table(dfrm)
print('test 1')
testufmean = [ufloat('2.0+/-1.0'), 4.0]
print ufmeanstd(testufmean, True)
print('test 2')
testufmean = [ufloat('2.0+/-1.0'), ufloat('4.0+/-0.0')]
print ufmeanstd(testufmean, True)
print('test 3')
testufmean = [ufloat('2.0+/-0.0'), ufloat('4.0+/-0.0')]
print ufmeanstd(testufmean, True)
print('test 4')
testufmean = [2.0, 4.0]
print ufmeanstd(testufmean, True)
print 'test 1'
binlis = [1, 1, 2, 2]
bins = [1, 2, 3]
bl = bin_values(binlis, bins)
print 'binlis:', binlis, '\n', 'bins:', bins, '\n', 'binned:', bl
print 'test 2'
binlis = [0, 0, 1, 1, 2, 2]
bins = [1, 2, 3]
bl = bin_values(binlis, bins)
print binlis, '\n', bins, '\n', bl
print 'test 3'
binlis = [1, 1, 2, 2, 3, 3]
bins = [1, 2, 3]
bl = bin_values(binlis, bins)
print binlis, '\n', bins, '\n', bl
print 'test 4'
binlis = [1, 1, 2, 2, 3, 3, 4, 4]
bins = [1, 2, 3]
bl = bin_values(binlis, bins)
print binlis, '\n', bins, '\n', bl
def testrun():
tab=Table()
tab.data= [('info1',1,2,'op1'),('info2',2,3,3),('info3',3,4,3),('info4',4,5,3),('info5',5,6,3),('info6',6,7,3),(9,7,8,3)]
tab.columnames=['a','b','c','d']
print tab
dfrm = table2dataframe(tab)
print dfrm
ntab = dataframe2table(dfrm)
print ('test 1')
testufmean=[ufloat('2.0+/-1.0'), 4.0]
print ufmeanstd(testufmean,True)
print ('test 2')
testufmean=[ufloat('2.0+/-1.0'), ufloat('4.0+/-0.0')]
print ufmeanstd(testufmean,True)
print ('test 3')
testufmean=[ufloat('2.0+/-0.0'), ufloat('4.0+/-0.0')]
print ufmeanstd(testufmean,True)
print ('test 4')
testufmean=[2.0, 4.0]
print ufmeanstd(testufmean,True)
print 'test 1'
binlis=[1,1,2,2]
bins=[1,2,3]
bl=bin_values(binlis,bins)
print 'binlis:',binlis,'\n','bins:',bins,'\n','binned:',bl
print 'test 2'
binlis=[0,0,1,1,2,2]
bins=[1, 2, 3]
bl=bin_values(binlis,bins)
print binlis,'\n',bins,'\n',bl
print 'test 3'
binlis=[1,1,2,2,3,3]
bins=[1, 2, 3]
bl=bin_values(binlis,bins)
print binlis,'\n',bins,'\n',bl
print 'test 4'
binlis=[1,1,2,2,3,3,4,4]
bins=[1, 2, 3]
bl=bin_values(binlis,bins)
print binlis,'\n',bins,'\n',bl
def testrun():
rp = 6
lp = 9
data = [range(0 + i, 3 + i) for i in range(1, 25)]
data = [
tuple(ele[0:2] + [rp, 2, 'k']) if ele[2] < 10 else tuple(ele[0:2] +
[lp, 6, 'o'])
for ele in data
]
tab = Table('testdata')
tab.data = data
tab.columnames = ('A', 'B', 'C', 'D', 'E')
tab.write('testplotdata.txt')
statoverview(tab)
# figure=matplotlib.pyplot.figure('ooop')
# matplotlib.pyplot.show()
# matplotlib.pyplot.close('all')
# matplotlib.pyplot.close(figure)
ggscatterplot(tabdata=tab,
xvar='A',
yvar='B',
group='',
error='',
figname='a.pdf',
main='a',
colormode='hue',
graphncol=0,
width=7,
height=7,
gformat='pdf',
doscale=False,
dolabelflip=False,
reducepnt=False,
dofit=False)
ggscatterplot(tabdata=tab,
xvar='A',
yvar='B',
group='C',
error='',
figname='b.pdf',
main='b',
colormode='hue',
graphncol=0,
width=7,
height=7,
gformat='pdf',
doscale=False,
dolabelflip=False,
reducepnt=False,
dofit=False)
ggscatterplot(tabdata=tab,
xvar='A',
yvar='B',
group='C',
error='D',
figname='c.pdf',
main='c',
colormode='hue',
graphncol=0,
width=7,
height=7,
gformat='pdf',
doscale=False,
dolabelflip=False,
reducepnt=False,
dofit=False)
ggscatterplot(tabdata=tab,
xvar='A',
yvar='B',
group='C',
error='',
figname='d.pdf',
main='d',
colormode='hue',
graphncol=0,
width=7,
height=7,
gformat='pdf',
doscale=False,
dolabelflip=False,
reducepnt=False,
dofit=False)
ggboxplot(tabdata=tab,
xvar='E',
yvar='B',
group='C',
error='',
figname='e.pdf',
main='e',
colormode='hue',
graphncol=0,
width=7,
height=7,
gformat='pdf',
doscale=False,
dolabelflip=False)
ggbarplot(tabdata=tab,
xvar='A',
yvar='B',
group='A',
error='',
figname='f.pdf',
main='ABA',
colormode='hue',
graphncol=0,
width=7,
height=7,
gformat='pdf',
doscale=False,
dolabelflip=False)
ggbarplot(tabdata=tab,
xvar='A',
yvar='B',
group='E',
error='',
figname='g.pdf',
main='ABE',
colormode='hue',
graphncol=0,
width=7,
height=7,
gformat='pdf',
doscale=False,
dolabelflip=False)
ggbarplot(tabdata=tab,
xvar='A',
yvar='B',
group='',
error='',
figname='h.pdf',
main='AB',
colormode='hue',
graphncol=0,
width=7,
height=7,
gformat='pdf',
doscale=False,
dolabelflip=False)
def testtable(self):
tab1=Table()
tab2=Table()
tab1.read('testfiles/tab1.txt',columnames=True)
tab2.read('testfiles/tab1.txt',columnames=False)
print ('read test')
print (tab1)
print (tab2)
tab1.read('testfiles/tab1.txt',columnames=True)
tab2.read('testfiles/tab2.txt',columnames=True)
print ('merge test')
print (tab1)
print (tab2)
tab1.merge(tab2,by_x='r',by_y='w')
print (tab1)
tab2.read('testfiles/tab2.txt',columnames=True)
tab2.write_html('testfiles/tab2.html')
tab2.write('testfiles/tab2-repo.txt')
sub1 = tab1.getcolumn(('r','t')).tolist()
self.assertEqual(sub1,[['3', '3'],['3', '333']])
sub2 = tab1.getcolumn(0).tolist()
self.assertEqual(sub2,[['1'],['2']])
def testtable(self):
tab1 = Table()
tab2 = Table()
tab1.read('testfiles/tab1.txt', columnames=True)
tab2.read('testfiles/tab1.txt', columnames=False)
print('read test')
print(tab1)
print(tab2)
tab1.read('testfiles/tab1.txt', columnames=True)
tab2.read('testfiles/tab2.txt', columnames=True)
print('merge test')
print(tab1)
print(tab2)
tab1.merge(tab2, by_x='r', by_y='w')
print(tab1)
tab2.read('testfiles/tab2.txt', columnames=True)
tab2.write_html('testfiles/tab2.html')
tab2.write('testfiles/tab2-repo.txt')
sub1 = tab1.getcolumn(('r', 't')).tolist()
self.assertEqual(sub1, [['3', '3'], ['3', '333']])
sub2 = tab1.getcolumn(0).tolist()
self.assertEqual(sub2, [['1'], ['2']])
