def test_to_pandas_dataframe_using_columns(self):
sds = SimpleDataSource(schema=[('a', int32), ('b', str)],
columns={'a': [1, 2, 3],
'b': ['one', 'two', 'three']})
df = sds.to_pandas_dataframe()
result = repr(df)
self.assertEquals(expected_repr_123, result)
def test_to_pandas_dataframe_using_columns(self):
sds = SimpleDataSource(schema=[('a', int32), ('b', str)],
columns={'a': [1, 2, 3],
'b': ['one', 'two', 'three']})
df = sds.to_pandas_dataframe()
result = repr(df)
self.assertEquals(expected_repr_123, result)
def test_to_pandas_dataframe_using_rows(self):
sds = SimpleDataSource(schema=[('a', int32), ('b', str)], rows=[(1, 'one'), (2, 'two'), (3, 'three')])
df = sds.to_pandas_dataframe()
result = repr(df)
self.assertEquals(expected_repr_123, result)
def test_to_pandas_dataframe_using_rows(self):
sds = SimpleDataSource(schema=[('a', int32), ('b', str)], rows=[(1, 'one'), (2, 'two'), (3, 'three')])
df = sds.to_pandas_dataframe()
result = repr(df)
self.assertEquals(expected_repr_123, result)