# override default types
chart = (alt.Chart(data).mark_point().encode(alt.X("x", type="nominal"),
alt.Y("y", type="ordinal")))
dct = chart.to_dict()
assert dct["encoding"]["x"]["type"] == "nominal"
assert dct["encoding"]["y"]["type"] == "ordinal"
@pytest.mark.parametrize(
"args, kwargs",
[
getargs(detail=["value:Q", "name:N"], tooltip=["value:Q", "name:N"]),
getargs(detail=["value", "name"], tooltip=["value", "name"]),
getargs(alt.Detail(["value:Q", "name:N"]),
alt.Tooltip(["value:Q", "name:N"])),
getargs(alt.Detail(["value", "name"]), alt.Tooltip(["value", "name"])),
getargs(
[alt.Detail("value:Q"),
alt.Detail("name:N")],
[alt.Tooltip("value:Q"),
alt.Tooltip("name:N")],
),
getargs(
[alt.Detail("value"), alt.Detail("name")],
[alt.Tooltip("value"), alt.Tooltip("name")],
),
],
)
def test_multiple_encodings(args, kwargs):
df = pd.DataFrame({"value": [1, 2, 3], "name": ["A", "B", "C"]})
chart = alt.Chart(data).mark_point().encode(alt.X('x'), alt.Y('y'),
alt.Color('c'))
_check_encodings(chart)
# override default types
chart = alt.Chart(data).mark_point().encode(alt.X('x', type='nominal'),
alt.Y('y', type='ordinal'))
dct = chart.to_dict()
assert dct['encoding']['x']['type'] == 'nominal'
assert dct['encoding']['y']['type'] == 'ordinal'
@pytest.mark.parametrize('args, kwargs', [
getargs(detail=['value:Q', 'name:N'], tooltip=['value:Q', 'name:N']),
getargs(detail=['value', 'name'], tooltip=['value', 'name']),
getargs(alt.Detail(['value:Q', 'name:N']), alt.Tooltip(['value:Q', 'name:N'])),
getargs(alt.Detail(['value', 'name']), alt.Tooltip(['value', 'name'])),
getargs([alt.Detail('value:Q'), alt.Detail('name:N')],
[alt.Tooltip('value:Q'), alt.Tooltip('name:N')]),
getargs([alt.Detail('value'), alt.Detail('name')],
[alt.Tooltip('value'), alt.Tooltip('name')]),
])
def test_multiple_encodings(args, kwargs):
df = pd.DataFrame({
'value': [1, 2, 3],
'name': ['A', 'B', 'C'],
})
encoding_dct = [{'field': 'value', 'type': 'quantitative'},
{'field': 'name', 'type': 'nominal'}]
chart = alt.Chart(df).mark_point().encode(*args, **kwargs)
dct = chart.to_dict()