def test_pandas(test_data):
"""Test creating chart data source from existing dataframe."""
ds = ChartDataSource.from_data(test_data.pd_data)
assert len(ds.columns) == 2
assert len(ds.index) == 4
ds = ChartDataSource(test_data.pd_data)
assert len(ds.columns) == 2
assert len(ds.index) == 4
def test_groupby(test_data):
ds = ChartDataSource(df=test_data.auto_data)
groups = list(ds.groupby(**test_data.single_col_spec))
assert len(groups) == 5
ds = ChartDataSource(df=test_data.auto_data)
groups = list(ds.groupby(**test_data.multi_col_spec))
assert len(groups) == 9
def test_derived_cols_from_lists(test_data):
"""List of lists for dimension results in column derivation."""
ds = ChartDataSource.from_data(test_data.array_data, dims=('y', 'x'))
assert ds['y'] == ['a', 'b']
def test_derived_selections(test_data):
ds = ChartDataSource.from_data(*test_data.array_data)
try:
[[ds[dim] for dim in req_dims] for req_dims in ds._required_dims]
except KeyError:
pytest.fail('Required dimension not correctly set by ChartDataSource.')
def test_records(test_data):
"""Test creating chart data source from array of dicts."""
ds = ChartDataSource.from_data(test_data.records_data)
assert len(ds.columns) == 2
assert len(ds.index) == 4
def test_dict(test_data):
"""Test creating chart data source from dict of arrays."""
ds = ChartDataSource.from_data(test_data.dict_data)
assert len(ds.columns) == 2
assert len(ds.index) == 4
def test_array(test_data):
"""Test creating chart data source from array-like numpy data."""
ds = ChartDataSource.from_data(*test_data.array_data)
assert len(ds.columns) == 2
assert len(ds.index) == 4
