def test_no_index(self):
if pd is None:
self.skipTest("pandas not available")
df = DataFrame([], ["x", "y"])
x = [1, 2, 3]
y = [4, 5, 6]
df.set_column("x", x)
df.set_column("y", y)
with self.assertRaises(ValueError):
df.to_dict()
pd_df = df.to_pandas()
self.assertEqual(list(pd_df["x"]), x)
self.assertEqual(list(pd_df["y"]), y)
def test_dict(self):
dic = {"aa": "bb", "c": "a"}
self.assertEqual(dic, DataFrame.from_dict(dic).to_dict())
dic = {1: 2}
self.assertEqual(dic, DataFrame.from_dict(dic).to_dict())
dic = {1: 2, 3: 4}
self.assertEqual(dic, DataFrame.from_dict(dic).to_dict())
dic = {2.0: ("a", "b"), 3: ("1", "2")}
self.assertEqual(dic, DataFrame.from_dict(dic).to_dict())
dic = {(2.0, "c"): ("a", "b"), (3, "a"): ("1", "2")}
self.assertEqual(dic, DataFrame.from_dict(dic).to_dict())
df = DataFrame("x", "y")
dic = {1: 12, 2: 23}
df.set_values(dic)
self.assertEqual(dic, df.to_dict())
df = DataFrame("x", ["y", "z"])
dic = {1: (12, 2), 2: (23, -1)}
df.set_values(dic)
self.assertEqual(dic, df.to_dict())
df = DataFrame("x", ["y", "z"])
df.set_values({1: [1, 2]})
self.assertEqual({1: (1, 2)}, df.to_dict())
