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111 changes: 59 additions & 52 deletions pandas/tests/io/formats/style/test_highlight.py
Original file line number Diff line number Diff line change
Expand Up @@ -5,61 +5,68 @@

pytest.importorskip("jinja2")

from pandas.io.formats.style import Styler

class TestStylerHighlight:
def setup_method(self, method):
np.random.seed(24)
self.s = DataFrame({"A": np.random.permutation(range(6))})
self.df = DataFrame({"A": [0, 1], "B": np.random.randn(2)})

def test_highlight_null(self):
df = DataFrame({"A": [0, np.nan]})
result = df.style.highlight_null()._compute().ctx
expected = {(1, 0): [("background-color", "red")]}
assert result == expected
@pytest.fixture
def df():
return DataFrame({"A": [0, np.nan, 10], "B": [1, None, 2]})

def test_highlight_null_subset(self):
# GH 31345
df = DataFrame({"A": [0, np.nan], "B": [0, np.nan]})
result = (
df.style.highlight_null(null_color="red", subset=["A"])
.highlight_null(null_color="green", subset=["B"])
._compute()
.ctx
)
expected = {
(1, 0): [("background-color", "red")],
(1, 1): [("background-color", "green")],
}
assert result == expected

@pytest.mark.parametrize("f", ["highlight_min", "highlight_max"])
def test_highlight_minmax_basic(self, f):
expected = {
(0, 0): [("background-color", "red")],
(1, 0): [("background-color", "red")],
}
if f == "highlight_min":
df = -self.df
else:
df = self.df
result = getattr(df.style, f)(axis=1, color="red")._compute().ctx
assert result == expected
@pytest.fixture
def styler(df):
return Styler(df, uuid_len=0)

@pytest.mark.parametrize("f", ["highlight_min", "highlight_max"])
@pytest.mark.parametrize(
"kwargs",
[
{"axis": None, "color": "red"}, # test axis
{"axis": 0, "subset": ["A"], "color": "red"}, # test subset
{"axis": None, "props": "background-color: red"}, # test props
],

def test_highlight_null(styler):
result = styler.highlight_null()._compute().ctx
expected = {
(1, 0): [("background-color", "red")],
(1, 1): [("background-color", "red")],
}
assert result == expected


def test_highlight_null_subset(styler):
# GH 31345
result = (
styler.highlight_null(null_color="red", subset=["A"])
.highlight_null(null_color="green", subset=["B"])
._compute()
.ctx
)
def test_highlight_minmax_ext(self, f, kwargs):
expected = {(1, 0): [("background-color", "red")]}
if f == "highlight_min":
df = -self.df
else:
df = self.df
result = getattr(df.style, f)(**kwargs)._compute().ctx
assert result == expected
expected = {
(1, 0): [("background-color", "red")],
(1, 1): [("background-color", "green")],
}
assert result == expected


@pytest.mark.parametrize("f", ["highlight_min", "highlight_max"])
def test_highlight_minmax_basic(df, f):
expected = {
(0, 1): [("background-color", "red")],
# ignores NaN row,
(2, 0): [("background-color", "red")],
}
if f == "highlight_min":
df = -df
result = getattr(df.style, f)(axis=1, color="red")._compute().ctx
assert result == expected


@pytest.mark.parametrize("f", ["highlight_min", "highlight_max"])
@pytest.mark.parametrize(
"kwargs",
[
{"axis": None, "color": "red"}, # test axis
{"axis": 0, "subset": ["A"], "color": "red"}, # test subset and ignores NaN
{"axis": None, "props": "background-color: red"}, # test props
],
)
def test_highlight_minmax_ext(df, f, kwargs):
expected = {(2, 0): [("background-color", "red")]}
if f == "highlight_min":
df = -df
result = getattr(df.style, f)(**kwargs)._compute().ctx
assert result == expected