def test3(self):
df=DataFrame()
with self.assertRaises(Exception) as cm:
df.validate({'GROUP' : lambda x: x in ['AA', 'AB', 'LAB']})
self.assertEqual(str(cm.exception),
'table must have data to validate data')
def test4(self):
df=DataFrame()
df.insert([('GROUP','AA'),('VAL',1)])
with self.assertRaises(Exception) as cm:
df.validate(lambda x: x in ['AA', 'AB', 'LAB'])
self.assertEqual(str(cm.exception),
'criteria must be mappable type')
def test1(self):
df=DataFrame()
df.read_tbl('data/suppression~subjectXgroupXageXcycleXphase.csv')
##df['RANDDATA'][42]='nan'
R=df.validate({'GROUP' : lambda x: x in ['AA', 'AB', 'LAB'],
'SEX' : lambda x: x in [0,1],
'SUPPRESSION' : lambda x: x < 1000.,
'RANDDATA' : lambda x: _isfloat(x),
'SUBJECT' : _isint}, verbose=False, report=False)
self.assertTrue(R)
def test0(self):
df=DataFrame()
df.read_tbl('data/suppression~subjectXgroupXageXcycleXphase.csv')
df['RANDDATA'][42]=0.
R=df.validate({'GROUP' : lambda x: x in ['AA', 'AB', 'LAB'],
'SEX' : lambda x: x in [0],
'SUPPRESSION' : lambda x: x < 62.,
'RANDDATA' : lambda x: x!=0,
'SUBJECT' : _isint}, verbose=False, report=False)
self.assertFalse(R)
