def setup(self):
self.l = Lorpasch(('year', 'month'), ('rainfall', ))
self.l.insert(2015, 1, 3.3)
self.l.insert(2015, 2, 8.3)
self.l.insert(2015, 3, 21.3)
self.l.insert(2015, 4, 29.3)
self.l.insert(2015, 5, 23.3)
self.l.insert(2015, 6, 17.3)
class TestLorpasch:
def setup(self):
self.l = Lorpasch(('year', 'month'), ('rainfall',))
self.l.insert(2015, 1, 3.3)
self.l.insert(2015, 2, 8.3)
self.l.insert(2015, 3,21.3)
self.l.insert(2015, 4,29.3)
self.l.insert(2015, 5,23.3)
self.l.insert(2015, 6,17.3)
def test_iter(self):
expected = [
(3.3,),
(8.3,),
(21.3,),
(29.3,),
(23.3,),
(17.3,),
]
assert list(self.l) == expected
def test_rollup(self):
pass
@pytest.mark.xfail
def test_insert_safe(self):
row = 2015, 7, 17.3
old = Lorpasch(self.l.df.copy())
new = old.insert(*row)
assert len(new.df) == len(old.df) + 1
def test_insert(self):
row = 2015, 7, 18.3
new = self.l.insert(*row)
assert tuple(new.df.ix[len(new.df)].values) == row
def test__slice(self):
observed = list(self.l._slice('month', 1))
expected = [True, False, False, False, False, False]
assert observed == expected
def test_slice(self):
observed = list(self.l.slice('month', 2))
expected = [
(8.3,)
]
assert observed == expected
def test_dice(self):
observed = list(self.l.dice('month', 1, 5))
expected = [
(3.3,),
(23.3,),
]
assert observed == expected
class TestLorpasch:
def setup(self):
self.l = Lorpasch(('year', 'month'), ('rainfall', ))
self.l.insert(2015, 1, 3.3)
self.l.insert(2015, 2, 8.3)
self.l.insert(2015, 3, 21.3)
self.l.insert(2015, 4, 29.3)
self.l.insert(2015, 5, 23.3)
self.l.insert(2015, 6, 17.3)
def test_iter(self):
expected = [
(3.3, ),
(8.3, ),
(21.3, ),
(29.3, ),
(23.3, ),
(17.3, ),
]
assert list(self.l) == expected
def test_rollup(self):
pass
@pytest.mark.xfail
def test_insert_safe(self):
row = 2015, 7, 17.3
old = Lorpasch(self.l.df.copy())
new = old.insert(*row)
assert len(new.df) == len(old.df) + 1
def test_insert(self):
row = 2015, 7, 18.3
new = self.l.insert(*row)
assert tuple(new.df.ix[len(new.df)].values) == row
def test__slice(self):
observed = list(self.l._slice('month', 1))
expected = [True, False, False, False, False, False]
assert observed == expected
def test_slice(self):
observed = list(self.l.slice('month', 2))
expected = [(8.3, )]
assert observed == expected
def test_dice(self):
observed = list(self.l.dice('month', 1, 5))
expected = [
(3.3, ),
(23.3, ),
]
assert observed == expected
def setup(self):
self.l = Lorpasch(('year', 'month'), ('rainfall',))
self.l.insert(2015, 1, 3.3)
self.l.insert(2015, 2, 8.3)
self.l.insert(2015, 3,21.3)
self.l.insert(2015, 4,29.3)
self.l.insert(2015, 5,23.3)
self.l.insert(2015, 6,17.3)
def test_insert_safe(self):
row = 2015, 7, 17.3
old = Lorpasch(self.l.df.copy())
new = old.insert(*row)
assert len(new.df) == len(old.df) + 1
def test_insert_safe(self):
row = 2015, 7, 17.3
old = Lorpasch(self.l.df.copy())
new = old.insert(*row)
assert len(new.df) == len(old.df) + 1
