def test_subsetnumeric_subsetnumeric(get_dataframe):
"""
This test applies two numeric subsets one
after the other
"""
sub_cola = "shape_star"
sub_lowa = 0.1
sub_higha = 0.2
sub_colb = "shape_leng"
sub_lowb = 1.0
sub_highb = 2.0
t = Table("geography.admin3")
t_df = get_dataframe(t)
sub_q = t.numeric_subset(sub_cola, sub_lowa,
sub_lowb).numeric_subset(sub_colb, sub_lowb,
sub_highb)
sub_df = t_df[(sub_lowa <= t_df[sub_cola])
& (t_df[sub_cola] <= sub_higha)
& (sub_lowb <= t_df[sub_colb])
& (t_df[sub_colb] <= sub_highb)]
sub_df = sub_df.reset_index(drop=True)
assert get_dataframe(sub_q).equals(sub_df)
def test_subset_subsetnumeric(get_dataframe):
"""
This test applies a non-numeric subsets and
a numeric subset one after another in both possible
orders.
"""
sub_cola = "admin1name"
sub_vala = "Central Development Region"
sub_colb = "shape_area"
sub_lowb = 0.1
sub_highb = 0.12
t = Table("geography.admin3")
t_df = get_dataframe(t)
sub_q1 = t.subset(sub_cola,
sub_vala).numeric_subset(sub_colb, sub_lowb, sub_highb)
sub_q2 = t.numeric_subset(sub_colb, sub_lowb,
sub_highb).subset(sub_cola, sub_vala)
sub_df = t_df[(t_df[sub_cola] == sub_vala)
& (sub_lowb <= t_df[sub_colb])
& (t_df[sub_colb] <= sub_highb)]
sub_df = sub_df.reset_index(drop=True)
assert get_dataframe(sub_q1).equals(sub_df)
assert get_dataframe(sub_q2).equals(sub_df)
class TestSubsetOfSubset(TestCase):
def setUp(self):
self.t = Table("geography.admin3")
self.t_df = self.t.get_dataframe()
def test_subset_subset(self):
"""
This test applies two non-numeric subsets one
after the other .
"""
sub_cola = "admin1name"
sub_vala = "Central Development Region"
sub_colb = "admin2name"
sub_valb = "Bagmati"
sub_q = self.t.subset(sub_cola, sub_vala).subset(sub_colb, sub_valb)
sub_df = self.t_df[(self.t_df[sub_cola] == sub_vala)
& (self.t_df[sub_colb] == sub_valb)]
sub_df = sub_df.reset_index(drop=True)
self.assertTrue(sub_q.get_dataframe().equals(sub_df))
def test_subset_subsetnumeric(self):
"""
This test applies a non-numeric subsets and
a numeric subset one after another in both possible
orders.
"""
sub_cola = "admin1name"
sub_vala = "Central Development Region"
sub_colb = "shape_area"
sub_lowb = 0.1
sub_highb = 0.12
sub_q1 = self.t.subset(sub_cola, sub_vala).numeric_subset(
sub_colb, sub_lowb, sub_highb)
sub_q2 = self.t.numeric_subset(sub_colb, sub_lowb,
sub_highb).subset(sub_cola, sub_vala)
sub_df = self.t_df[(self.t_df[sub_cola] == sub_vala)
& (sub_lowb <= self.t_df[sub_colb])
& (self.t_df[sub_colb] <= sub_highb)]
sub_df = sub_df.reset_index(drop=True)
self.assertTrue(sub_q1.get_dataframe().equals(sub_df))
self.assertTrue(sub_q2.get_dataframe().equals(sub_df))
def test_subsetnumeric_subsetnumeric(self):
"""
This test applies two numeric subsets one
after the other
"""
sub_cola = "shape_star"
sub_lowa = 0.1
sub_higha = 0.2
sub_colb = "shape_leng"
sub_lowb = 1.0
sub_highb = 2.0
sub_q = self.t.numeric_subset(sub_cola, sub_lowa,
sub_lowb).numeric_subset(
sub_colb, sub_lowb, sub_highb)
sub_df = self.t_df[(sub_lowa <= self.t_df[sub_cola])
& (self.t_df[sub_cola] <= sub_higha)
& (sub_lowb <= self.t_df[sub_colb])
& (self.t_df[sub_colb] <= sub_highb)]
sub_df = sub_df.reset_index(drop=True)
self.assertTrue(sub_q.get_dataframe().equals(sub_df))