def test_stack_agg(self):
query = vl2asp({
"mark": "bar",
"encoding": {
"x": {
"type": "nominal",
"field": "n1"
},
"y": {
"type": "quantitative",
"field": "q1",
"stack": "zero",
"aggregate": "sum",
},
"detail": {
"type": "nominal",
"field": "n2"
},
"color": {
"type": "quantitative",
"field": "q2",
"aggregate": "mean",
},
},
})
assert is_valid(data_schema + query, True) == True
def test_one_bar(self):
query = vl2asp({
"mark": "bar",
"encoding": {
"y": {
"type": "quantitative",
"field": "q1"
}
}
})
assert is_valid(data_schema + query, True) == True
def test_row_only(self):
query = vl2asp({
"mark": "point",
"encoding": {
"row": {
"type": "nominal",
"field": "n1"
}
}
})
assert is_valid(data_schema + query, True) == False
def test_q_q_bar(self):
query = vl2asp({
"mark": "bar",
"encoding": {
"x": {
"type": "quantitative",
"field": "q1"
},
"y": {
"type": "quantitative",
"field": "q2"
},
},
})
assert is_valid(data_schema + query, True) == False
def test_only_one_agg(self):
query = vl2asp({
"mark": "point",
"encoding": {
"x": {
"type": "quantitative",
"field": "q1"
},
"y": {
"type": "quantitative",
"field": "q2",
"aggregate": "mean"
},
},
})
assert is_valid(data_schema + query, True) == False
def test_heatmap(self):
query = vl2asp({
"mark": "rect",
"encoding": {
"x": {
"type": "nominal",
"field": "n1"
},
"y": {
"type": "ordinal",
"field": "q1",
"bin": True
},
},
})
assert is_valid(data_schema + query, True) == True
def test_hist(self):
query = vl2asp({
"mark": "bar",
"encoding": {
"x": {
"type": "quantitative",
"field": "q1",
"bin": True
},
"y": {
"type": "quantitative",
"aggregate": "count"
},
},
})
assert is_valid(data_schema + query, True) == True
def test_scatter(self):
query = vl2asp({
"mark": "point",
"encoding": {
"x": {
"type": "quantitative",
"field": "q1"
},
"y": {
"type": "quantitative",
"field": "q2"
},
"color": {
"type": "nominal",
"field": "n2"
},
"size": {
"type": "quantitative",
"field": "q3"
},
},
})
assert is_valid(data_schema + query, True) == True
def test_stack_q_q(self):
query = vl2asp({
"mark": "area",
"encoding": {
"x": {
"type": "quantitative",
"field": "q1",
"scale": {
"zero": False
},
},
"y": {
"type": "quantitative",
"field": "q2",
"stack": "zero"
},
"color": {
"type": "nominal",
"field": "n1"
},
},
})
assert is_valid(data_schema + query, True) == True
