def test_normal(self):
dataframe = pandas.DataFrame(
[[0, 0.1, "a"], [1, 1.1, "bb"], [2, 2.2, "ccc"]],
columns=["id", "value", "name"])
expected = TableData(
"tablename",
["id", "value", "name"],
[[0, Decimal("0.1"), "a"], [1, Decimal("1.1"), "bb"],
[2, Decimal("2.2"), "ccc"]],
)
assert TableData.from_dataframe(dataframe,
"tablename").equals(expected)
def test_normal(self):
dataframe = pandas.DataFrame([
[0, 0.1, "a"],
[1, 1.1, "bb"],
[2, 2.2, "ccc"],
],
columns=['id', 'value', 'name'])
expected = TableData(table_name="tablename",
header_list=['id', 'value', 'name'],
row_list=[
[0, Decimal('0.1'), 'a'],
[1, Decimal('1.1'), 'bb'],
[2, Decimal('2.2'), 'ccc'],
])
assert TableData.from_dataframe(dataframe,
"tablename").equals(expected)
