def test_consolidate_InlineData():
data = alt.InlineData(values=[{
"a": 1,
"b": 1
}, {
"a": 2,
"b": 2
}],
format={"type": "csv"})
chart = alt.Chart(data).mark_point()
with alt.data_transformers.enable(consolidate_datasets=False):
dct = chart.to_dict()
assert dct["data"]["format"] == data.format
assert dct["data"]["values"] == data.values
with alt.data_transformers.enable(consolidate_datasets=True):
dct = chart.to_dict()
assert dct["data"]["format"] == data.format
assert list(dct["datasets"].values())[0] == data.values
data = alt.InlineData(values=[], name="runtime_data")
chart = alt.Chart(data).mark_point()
with alt.data_transformers.enable(consolidate_datasets=False):
dct = chart.to_dict()
assert dct["data"] == data.to_dict()
with alt.data_transformers.enable(consolidate_datasets=True):
dct = chart.to_dict()
assert dct["data"] == data.to_dict()
def test_consolidate_InlineData():
data = alt.InlineData(values=[{
'a': 1,
'b': 1
}, {
'a': 2,
'b': 2
}],
format={'type': 'csv'})
chart = alt.Chart(data).mark_point()
with alt.data_transformers.enable(consolidate_datasets=False):
dct = chart.to_dict()
assert dct['data']['format'] == data.format
assert dct['data']['values'] == data.values
with alt.data_transformers.enable(consolidate_datasets=True):
dct = chart.to_dict()
assert dct['data']['format'] == data.format
assert list(dct['datasets'].values())[0] == data.values
data = alt.InlineData(values=[], name='runtime_data')
chart = alt.Chart(data).mark_point()
with alt.data_transformers.enable(consolidate_datasets=False):
dct = chart.to_dict()
assert dct['data'] == data.to_dict()
with alt.data_transformers.enable(consolidate_datasets=True):
dct = chart.to_dict()
assert dct['data'] == data.to_dict()