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_custom_derived_cols_from_df(test_data):
"""Wide dataframe columns assigned to y dimension for the chart.
This tests using the NumericalColumnsAssigner, which is used for charts
that prefer behavior of expecting series-like data. Typically the x axis
is used as an index, then the y axis will be assigned multiple columns.
"""
ds = ChartDataSource.from_data(test_data.pd_data, dims=('x', 'y'),
column_assigner=NumericalColumnsAssigner)
assert ds['y'] == ['col1', 'col2']
def test_pandas(test_data):
"""Test creating chart data source from existing dataframe."""
pd_data = test_data.pd_data.copy()
ds = ChartDataSource.from_data(pd_data)
assert len(ds.columns) == 2
assert len(ds.index) == 4
ds = ChartDataSource(pd_data)
assert len(ds.columns) == 2
assert len(ds.index) == 4
# Test for issue #3899
# ChartDataSource shouldn't modify the input DataFrame
assert pd_data.equals(test_data.pd_data)
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
