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_groupby(test_data):
# Note: this works because MarkerAttr and DashAttr are permissive in
# what is accepted for iterable, i.e. List(String)
for cls in (ColorAttr, MarkerAttr, DashAttr):
single_col_spec = {'test': cls(df=test_data.auto_data, columns='cyl',
name='test', iterable=['red', 'blue'])}
multi_col_spec = {'test': cls(df=test_data.auto_data,
columns=('cyl', 'origin'),
name='test', iterable=['red', 'blue'])}
ds = ChartDataSource(df=test_data.auto_data)
groups = list(ds.groupby(**single_col_spec))
assert len(groups) == 5
ds = ChartDataSource(df=test_data.auto_data)
groups = list(ds.groupby(**multi_col_spec))
assert len(groups) == 9
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_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)
