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| import numpy as np
| import pytest
|
| from pandas import (
| NA,
| DataFrame,
| IndexSlice,
| )
|
| pytest.importorskip("jinja2")
|
| from pandas.io.formats.style import Styler
|
|
| @pytest.fixture(params=[(None, "float64"), (NA, "Int64")])
| def df(request):
| # GH 45804
| return DataFrame(
| {"A": [0, np.nan, 10], "B": [1, request.param[0], 2]}, dtype=request.param[1]
| )
|
|
| @pytest.fixture
| def styler(df):
| return Styler(df, uuid_len=0)
|
|
| 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(color="red", subset=["A"])
| .highlight_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(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
|
|
| @pytest.mark.parametrize("f", ["highlight_min", "highlight_max"])
| @pytest.mark.parametrize("axis", [None, 0, 1])
| def test_highlight_minmax_nulls(f, axis):
| # GH 42750
| expected = {
| (1, 0): [("background-color", "yellow")],
| (1, 1): [("background-color", "yellow")],
| }
| if axis == 1:
| expected.update({(2, 1): [("background-color", "yellow")]})
|
| if f == "highlight_max":
| df = DataFrame({"a": [NA, 1, None], "b": [np.nan, 1, -1]})
| else:
| df = DataFrame({"a": [NA, -1, None], "b": [np.nan, -1, 1]})
|
| result = getattr(df.style, f)(axis=axis)._compute().ctx
| assert result == expected
|
|
| @pytest.mark.parametrize(
| "kwargs",
| [
| {"left": 0, "right": 1}, # test basic range
| {"left": 0, "right": 1, "props": "background-color: yellow"}, # test props
| {"left": -100, "right": 100, "subset": IndexSlice[[0, 1], :]}, # test subset
| {"left": 0, "subset": IndexSlice[[0, 1], :]}, # test no right
| {"right": 1}, # test no left
| {"left": [0, 0, 11], "axis": 0}, # test left as sequence
| {"left": DataFrame({"A": [0, 0, 11], "B": [1, 1, 11]}), "axis": None}, # axis
| {"left": 0, "right": [0, 1], "axis": 1}, # test sequence right
| ],
| )
| def test_highlight_between(styler, kwargs):
| expected = {
| (0, 0): [("background-color", "yellow")],
| (0, 1): [("background-color", "yellow")],
| }
| result = styler.highlight_between(**kwargs)._compute().ctx
| assert result == expected
|
|
| @pytest.mark.parametrize(
| "arg, map, axis",
| [
| ("left", [1, 2], 0), # 0 axis has 3 elements not 2
| ("left", [1, 2, 3], 1), # 1 axis has 2 elements not 3
| ("left", np.array([[1, 2], [1, 2]]), None), # df is (2,3) not (2,2)
| ("right", [1, 2], 0), # same tests as above for 'right' not 'left'
| ("right", [1, 2, 3], 1), # ..
| ("right", np.array([[1, 2], [1, 2]]), None), # ..
| ],
| )
| def test_highlight_between_raises(arg, styler, map, axis):
| msg = f"supplied '{arg}' is not correct shape"
| with pytest.raises(ValueError, match=msg):
| styler.highlight_between(**{arg: map, "axis": axis})._compute()
|
|
| def test_highlight_between_raises2(styler):
| msg = "values can be 'both', 'left', 'right', or 'neither'"
| with pytest.raises(ValueError, match=msg):
| styler.highlight_between(inclusive="badstring")._compute()
|
| with pytest.raises(ValueError, match=msg):
| styler.highlight_between(inclusive=1)._compute()
|
|
| @pytest.mark.parametrize(
| "inclusive, expected",
| [
| (
| "both",
| {
| (0, 0): [("background-color", "yellow")],
| (0, 1): [("background-color", "yellow")],
| },
| ),
| ("neither", {}),
| ("left", {(0, 0): [("background-color", "yellow")]}),
| ("right", {(0, 1): [("background-color", "yellow")]}),
| ],
| )
| def test_highlight_between_inclusive(styler, inclusive, expected):
| kwargs = {"left": 0, "right": 1, "subset": IndexSlice[[0, 1], :]}
| result = styler.highlight_between(**kwargs, inclusive=inclusive)._compute()
| assert result.ctx == expected
|
|
| @pytest.mark.parametrize(
| "kwargs",
| [
| {"q_left": 0.5, "q_right": 1, "axis": 0}, # base case
| {"q_left": 0.5, "q_right": 1, "axis": None}, # test axis
| {"q_left": 0, "q_right": 1, "subset": IndexSlice[2, :]}, # test subset
| {"q_left": 0.5, "axis": 0}, # test no high
| {"q_right": 1, "subset": IndexSlice[2, :], "axis": 1}, # test no low
| {"q_left": 0.5, "axis": 0, "props": "background-color: yellow"}, # tst prop
| ],
| )
| def test_highlight_quantile(styler, kwargs):
| expected = {
| (2, 0): [("background-color", "yellow")],
| (2, 1): [("background-color", "yellow")],
| }
| result = styler.highlight_quantile(**kwargs)._compute().ctx
| assert result == expected
|
|
| @pytest.mark.parametrize(
| "f,kwargs",
| [
| ("highlight_min", {"axis": 1, "subset": IndexSlice[1, :]}),
| ("highlight_max", {"axis": 0, "subset": [0]}),
| ("highlight_quantile", {"axis": None, "q_left": 0.6, "q_right": 0.8}),
| ("highlight_between", {"subset": [0]}),
| ],
| )
| @pytest.mark.parametrize(
| "df",
| [
| DataFrame([[0, 10], [20, 30]], dtype=int),
| DataFrame([[0, 10], [20, 30]], dtype=float),
| DataFrame([[0, 10], [20, 30]], dtype="datetime64[ns]"),
| DataFrame([[0, 10], [20, 30]], dtype=str),
| DataFrame([[0, 10], [20, 30]], dtype="timedelta64[ns]"),
| ],
| )
| def test_all_highlight_dtypes(f, kwargs, df):
| if f == "highlight_quantile" and isinstance(df.iloc[0, 0], (str)):
| return None # quantile incompatible with str
| if f == "highlight_between":
| kwargs["left"] = df.iloc[1, 0] # set the range low for testing
|
| expected = {(1, 0): [("background-color", "yellow")]}
| result = getattr(df.style, f)(**kwargs)._compute().ctx
| assert result == expected
|
|
