Vehicle-cpp/hkpc/software/pandas/tests/io/formats/test_to_html.py

from datetime import datetime
from io import StringIO
import re

import numpy as np
import pytest

import pandas as pd
from pandas import (
    DataFrame,
    Index,
    MultiIndex,
    option_context,
)
import pandas._testing as tm

import pandas.io.formats.format as fmt

lorem_ipsum = (
    "Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod "
    "tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim "
    "veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex "
    "ea commodo consequat. Duis aute irure dolor in reprehenderit in "
    "voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur "
    "sint occaecat cupidatat non proident, sunt in culpa qui officia "
    "deserunt mollit anim id est laborum."
)


def expected_html(datapath, name):
    """
    Read HTML file from formats data directory.

    Parameters
    ----------
    datapath : pytest fixture
        The datapath fixture injected into a test by pytest.
    name : str
        The name of the HTML file without the suffix.

    Returns
    -------
    str : contents of HTML file.
    """
    filename = ".".join([name, "html"])
    filepath = datapath("io", "formats", "data", "html", filename)
    with open(filepath, encoding="utf-8") as f:
        html = f.read()
    return html.rstrip()


@pytest.fixture(params=["mixed", "empty"])
def biggie_df_fixture(request):
    """Fixture for a big mixed Dataframe and an empty Dataframe"""
    if request.param == "mixed":
        df = DataFrame(
            {"A": np.random.randn(200), "B": tm.makeStringIndex(200)},
            index=np.arange(200),
        )
        df.loc[:20, "A"] = np.nan
        df.loc[:20, "B"] = np.nan
        return df
    elif request.param == "empty":
        df = DataFrame(index=np.arange(200))
        return df


@pytest.fixture(params=fmt._VALID_JUSTIFY_PARAMETERS)
def justify(request):
    return request.param


@pytest.mark.parametrize("col_space", [30, 50])
def test_to_html_with_col_space(col_space):
    df = DataFrame(np.random.random(size=(1, 3)))
    # check that col_space affects HTML generation
    # and be very brittle about it.
    result = df.to_html(col_space=col_space)
    hdrs = [x for x in result.split(r"\n") if re.search(r"<th[>\s]", x)]
    assert len(hdrs) > 0
    for h in hdrs:
        assert "min-width" in h
        assert str(col_space) in h


def test_to_html_with_column_specific_col_space_raises():
    df = DataFrame(np.random.random(size=(3, 3)), columns=["a", "b", "c"])

    msg = (
        "Col_space length\\(\\d+\\) should match "
        "DataFrame number of columns\\(\\d+\\)"
    )
    with pytest.raises(ValueError, match=msg):
        df.to_html(col_space=[30, 40])

    with pytest.raises(ValueError, match=msg):
        df.to_html(col_space=[30, 40, 50, 60])

    msg = "unknown column"
    with pytest.raises(ValueError, match=msg):
        df.to_html(col_space={"a": "foo", "b": 23, "d": 34})


def test_to_html_with_column_specific_col_space():
    df = DataFrame(np.random.random(size=(3, 3)), columns=["a", "b", "c"])

    result = df.to_html(col_space={"a": "2em", "b": 23})
    hdrs = [x for x in result.split("\n") if re.search(r"<th[>\s]", x)]
    assert 'min-width: 2em;">a</th>' in hdrs[1]
    assert 'min-width: 23px;">b</th>' in hdrs[2]
    assert "<th>c</th>" in hdrs[3]

    result = df.to_html(col_space=["1em", 2, 3])
    hdrs = [x for x in result.split("\n") if re.search(r"<th[>\s]", x)]
    assert 'min-width: 1em;">a</th>' in hdrs[1]
    assert 'min-width: 2px;">b</th>' in hdrs[2]
    assert 'min-width: 3px;">c</th>' in hdrs[3]


def test_to_html_with_empty_string_label():
    # GH 3547, to_html regards empty string labels as repeated labels
    data = {"c1": ["a", "b"], "c2": ["a", ""], "data": [1, 2]}
    df = DataFrame(data).set_index(["c1", "c2"])
    result = df.to_html()
    assert "rowspan" not in result


@pytest.mark.parametrize(
    "df,expected",
    [
        (DataFrame({"\u03c3": np.arange(10.0)}), "unicode_1"),
        (DataFrame({"A": ["\u03c3"]}), "unicode_2"),
    ],
)
def test_to_html_unicode(df, expected, datapath):
    expected = expected_html(datapath, expected)
    result = df.to_html()
    assert result == expected


def test_to_html_encoding(float_frame, tmp_path):
    # GH 28663
    path = tmp_path / "test.html"
    float_frame.to_html(path, encoding="gbk")
    with open(str(path), encoding="gbk") as f:
        assert float_frame.to_html() == f.read()


def test_to_html_decimal(datapath):
    # GH 12031
    df = DataFrame({"A": [6.0, 3.1, 2.2]})
    result = df.to_html(decimal=",")
    expected = expected_html(datapath, "gh12031_expected_output")
    assert result == expected


@pytest.mark.parametrize(
    "kwargs,string,expected",
    [
        ({}, "<type 'str'>", "escaped"),
        ({"escape": False}, "<b>bold</b>", "escape_disabled"),
    ],
)
def test_to_html_escaped(kwargs, string, expected, datapath):
    a = "str<ing1 &amp;"
    b = "stri>ng2 &amp;"

    test_dict = {"co<l1": {a: string, b: string}, "co>l2": {a: string, b: string}}
    result = DataFrame(test_dict).to_html(**kwargs)
    expected = expected_html(datapath, expected)
    assert result == expected


@pytest.mark.parametrize("index_is_named", [True, False])
def test_to_html_multiindex_index_false(index_is_named, datapath):
    # GH 8452
    df = DataFrame(
        {"a": range(2), "b": range(3, 5), "c": range(5, 7), "d": range(3, 5)}
    )
    df.columns = MultiIndex.from_product([["a", "b"], ["c", "d"]])
    if index_is_named:
        df.index = Index(df.index.values, name="idx")
    result = df.to_html(index=False)
    expected = expected_html(datapath, "gh8452_expected_output")
    assert result == expected


@pytest.mark.parametrize(
    "multi_sparse,expected",
    [
        (False, "multiindex_sparsify_false_multi_sparse_1"),
        (False, "multiindex_sparsify_false_multi_sparse_2"),
        (True, "multiindex_sparsify_1"),
        (True, "multiindex_sparsify_2"),
    ],
)
def test_to_html_multiindex_sparsify(multi_sparse, expected, datapath):
    index = MultiIndex.from_arrays([[0, 0, 1, 1], [0, 1, 0, 1]], names=["foo", None])
    df = DataFrame([[0, 1], [2, 3], [4, 5], [6, 7]], index=index)
    if expected.endswith("2"):
        df.columns = index[::2]
    with option_context("display.multi_sparse", multi_sparse):
        result = df.to_html()
    expected = expected_html(datapath, expected)
    assert result == expected


@pytest.mark.parametrize(
    "max_rows,expected",
    [
        (60, "gh14882_expected_output_1"),
        # Test that ... appears in a middle level
        (56, "gh14882_expected_output_2"),
    ],
)
def test_to_html_multiindex_odd_even_truncate(max_rows, expected, datapath):
    # GH 14882 - Issue on truncation with odd length DataFrame
    index = MultiIndex.from_product(
        [[100, 200, 300], [10, 20, 30], [1, 2, 3, 4, 5, 6, 7]], names=["a", "b", "c"]
    )
    df = DataFrame({"n": range(len(index))}, index=index)
    result = df.to_html(max_rows=max_rows)
    expected = expected_html(datapath, expected)
    assert result == expected


@pytest.mark.parametrize(
    "df,formatters,expected",
    [
        (
            DataFrame(
                [[0, 1], [2, 3], [4, 5], [6, 7]],
                columns=["foo", None],
                index=np.arange(4),
            ),
            {"__index__": lambda x: "abcd"[x]},
            "index_formatter",
        ),
        (
            DataFrame({"months": [datetime(2016, 1, 1), datetime(2016, 2, 2)]}),
            {"months": lambda x: x.strftime("%Y-%m")},
            "datetime64_monthformatter",
        ),
        (
            DataFrame(
                {
                    "hod": pd.to_datetime(
                        ["10:10:10.100", "12:12:12.120"], format="%H:%M:%S.%f"
                    )
                }
            ),
            {"hod": lambda x: x.strftime("%H:%M")},
            "datetime64_hourformatter",
        ),
        (
            DataFrame(
                {
                    "i": pd.Series([1, 2], dtype="int64"),
                    "f": pd.Series([1, 2], dtype="float64"),
                    "I": pd.Series([1, 2], dtype="Int64"),
                    "s": pd.Series([1, 2], dtype="string"),
                    "b": pd.Series([True, False], dtype="boolean"),
                    "c": pd.Series(["a", "b"], dtype=pd.CategoricalDtype(["a", "b"])),
                    "o": pd.Series([1, "2"], dtype=object),
                }
            ),
            [lambda x: "formatted"] * 7,
            "various_dtypes_formatted",
        ),
    ],
)
def test_to_html_formatters(df, formatters, expected, datapath):
    expected = expected_html(datapath, expected)
    result = df.to_html(formatters=formatters)
    assert result == expected


def test_to_html_regression_GH6098():
    df = DataFrame(
        {
            "clé1": ["a", "a", "b", "b", "a"],
            "clé2": ["1er", "2ème", "1er", "2ème", "1er"],
            "données1": np.random.randn(5),
            "données2": np.random.randn(5),
        }
    )

    # it works
    df.pivot_table(index=["clé1"], columns=["clé2"])._repr_html_()


def test_to_html_truncate(datapath):
    index = pd.date_range(start="20010101", freq="D", periods=20)
    df = DataFrame(index=index, columns=range(20))
    result = df.to_html(max_rows=8, max_cols=4)
    expected = expected_html(datapath, "truncate")
    assert result == expected


@pytest.mark.parametrize("size", [1, 5])
def test_html_invalid_formatters_arg_raises(size):
    # issue-28469
    df = DataFrame(columns=["a", "b", "c"])
    msg = "Formatters length({}) should match DataFrame number of columns(3)"
    with pytest.raises(ValueError, match=re.escape(msg.format(size))):
        df.to_html(formatters=["{}".format] * size)


def test_to_html_truncate_formatter(datapath):
    # issue-25955
    data = [
        {"A": 1, "B": 2, "C": 3, "D": 4},
        {"A": 5, "B": 6, "C": 7, "D": 8},
        {"A": 9, "B": 10, "C": 11, "D": 12},
        {"A": 13, "B": 14, "C": 15, "D": 16},
    ]

    df = DataFrame(data)
    fmt = lambda x: str(x) + "_mod"
    formatters = [fmt, fmt, None, None]
    result = df.to_html(formatters=formatters, max_cols=3)
    expected = expected_html(datapath, "truncate_formatter")
    assert result == expected


@pytest.mark.parametrize(
    "sparsify,expected",
    [(True, "truncate_multi_index"), (False, "truncate_multi_index_sparse_off")],
)
def test_to_html_truncate_multi_index(sparsify, expected, datapath):
    arrays = [
        ["bar", "bar", "baz", "baz", "foo", "foo", "qux", "qux"],
        ["one", "two", "one", "two", "one", "two", "one", "two"],
    ]
    df = DataFrame(index=arrays, columns=arrays)
    result = df.to_html(max_rows=7, max_cols=7, sparsify=sparsify)
    expected = expected_html(datapath, expected)
    assert result == expected


@pytest.mark.parametrize(
    "option,result,expected",
    [
        (None, lambda df: df.to_html(), "1"),
        (None, lambda df: df.to_html(border=2), "2"),
        (2, lambda df: df.to_html(), "2"),
        (2, lambda df: df._repr_html_(), "2"),
    ],
)
def test_to_html_border(option, result, expected):
    df = DataFrame({"A": [1, 2]})
    if option is None:
        result = result(df)
    else:
        with option_context("display.html.border", option):
            result = result(df)
    expected = f'border="{expected}"'
    assert expected in result


@pytest.mark.parametrize("biggie_df_fixture", ["mixed"], indirect=True)
def test_to_html(biggie_df_fixture):
    # TODO: split this test
    df = biggie_df_fixture
    s = df.to_html()

    buf = StringIO()
    retval = df.to_html(buf=buf)
    assert retval is None
    assert buf.getvalue() == s

    assert isinstance(s, str)

    df.to_html(columns=["B", "A"], col_space=17)
    df.to_html(columns=["B", "A"], formatters={"A": lambda x: f"{x:.1f}"})

    df.to_html(columns=["B", "A"], float_format=str)
    df.to_html(columns=["B", "A"], col_space=12, float_format=str)


@pytest.mark.parametrize("biggie_df_fixture", ["empty"], indirect=True)
def test_to_html_empty_dataframe(biggie_df_fixture):
    df = biggie_df_fixture
    df.to_html()


def test_to_html_filename(biggie_df_fixture, tmpdir):
    df = biggie_df_fixture
    expected = df.to_html()
    path = tmpdir.join("test.html")
    df.to_html(path)
    result = path.read()
    assert result == expected


def test_to_html_with_no_bold():
    df = DataFrame({"x": np.random.randn(5)})
    html = df.to_html(bold_rows=False)
    result = html[html.find("</thead>")]
    assert "<strong" not in result


def test_to_html_columns_arg(float_frame):
    result = float_frame.to_html(columns=["A"])
    assert "<th>B</th>" not in result


@pytest.mark.parametrize(
    "columns,justify,expected",
    [
        (
            MultiIndex.from_tuples(
                list(zip(np.arange(2).repeat(2), np.mod(range(4), 2))),
                names=["CL0", "CL1"],
            ),
            "left",
            "multiindex_1",
        ),
        (
            MultiIndex.from_tuples(list(zip(range(4), np.mod(range(4), 2)))),
            "right",
            "multiindex_2",
        ),
    ],
)
def test_to_html_multiindex(columns, justify, expected, datapath):
    df = DataFrame([list("abcd"), list("efgh")], columns=columns)
    result = df.to_html(justify=justify)
    expected = expected_html(datapath, expected)
    assert result == expected


def test_to_html_justify(justify, datapath):
    df = DataFrame(
        {"A": [6, 30000, 2], "B": [1, 2, 70000], "C": [223442, 0, 1]},
        columns=["A", "B", "C"],
    )
    result = df.to_html(justify=justify)
    expected = expected_html(datapath, "justify").format(justify=justify)
    assert result == expected


@pytest.mark.parametrize(
    "justify", ["super-right", "small-left", "noinherit", "tiny", "pandas"]
)
def test_to_html_invalid_justify(justify):
    # GH 17527
    df = DataFrame()
    msg = "Invalid value for justify parameter"

    with pytest.raises(ValueError, match=msg):
        df.to_html(justify=justify)


class TestHTMLIndex:
    @pytest.fixture
    def df(self):
        index = ["foo", "bar", "baz"]
        df = DataFrame(
            {"A": [1, 2, 3], "B": [1.2, 3.4, 5.6], "C": ["one", "two", np.nan]},
            columns=["A", "B", "C"],
            index=index,
        )
        return df

    @pytest.fixture
    def expected_without_index(self, datapath):
        return expected_html(datapath, "index_2")

    def test_to_html_flat_index_without_name(
        self, datapath, df, expected_without_index
    ):
        expected_with_index = expected_html(datapath, "index_1")
        assert df.to_html() == expected_with_index

        result = df.to_html(index=False)
        for i in df.index:
            assert i not in result
        assert result == expected_without_index

    def test_to_html_flat_index_with_name(self, datapath, df, expected_without_index):
        df.index = Index(["foo", "bar", "baz"], name="idx")
        expected_with_index = expected_html(datapath, "index_3")
        assert df.to_html() == expected_with_index
        assert df.to_html(index=False) == expected_without_index

    def test_to_html_multiindex_without_names(
        self, datapath, df, expected_without_index
    ):
        tuples = [("foo", "car"), ("foo", "bike"), ("bar", "car")]
        df.index = MultiIndex.from_tuples(tuples)

        expected_with_index = expected_html(datapath, "index_4")
        assert df.to_html() == expected_with_index

        result = df.to_html(index=False)
        for i in ["foo", "bar", "car", "bike"]:
            assert i not in result
        # must be the same result as normal index
        assert result == expected_without_index

    def test_to_html_multiindex_with_names(self, datapath, df, expected_without_index):
        tuples = [("foo", "car"), ("foo", "bike"), ("bar", "car")]
        df.index = MultiIndex.from_tuples(tuples, names=["idx1", "idx2"])
        expected_with_index = expected_html(datapath, "index_5")
        assert df.to_html() == expected_with_index
        assert df.to_html(index=False) == expected_without_index


@pytest.mark.parametrize("classes", ["sortable draggable", ["sortable", "draggable"]])
def test_to_html_with_classes(classes, datapath):
    df = DataFrame()
    expected = expected_html(datapath, "with_classes")
    result = df.to_html(classes=classes)
    assert result == expected


def test_to_html_no_index_max_rows(datapath):
    # GH 14998
    df = DataFrame({"A": [1, 2, 3, 4]})
    result = df.to_html(index=False, max_rows=1)
    expected = expected_html(datapath, "gh14998_expected_output")
    assert result == expected


def test_to_html_multiindex_max_cols(datapath):
    # GH 6131
    index = MultiIndex(
        levels=[["ba", "bb", "bc"], ["ca", "cb", "cc"]],
        codes=[[0, 1, 2], [0, 1, 2]],
        names=["b", "c"],
    )
    columns = MultiIndex(
        levels=[["d"], ["aa", "ab", "ac"]],
        codes=[[0, 0, 0], [0, 1, 2]],
        names=[None, "a"],
    )
    data = np.array(
        [[1.0, np.nan, np.nan], [np.nan, 2.0, np.nan], [np.nan, np.nan, 3.0]]
    )
    df = DataFrame(data, index, columns)
    result = df.to_html(max_cols=2)
    expected = expected_html(datapath, "gh6131_expected_output")
    assert result == expected


def test_to_html_multi_indexes_index_false(datapath):
    # GH 22579
    df = DataFrame(
        {"a": range(10), "b": range(10, 20), "c": range(10, 20), "d": range(10, 20)}
    )
    df.columns = MultiIndex.from_product([["a", "b"], ["c", "d"]])
    df.index = MultiIndex.from_product([["a", "b"], ["c", "d", "e", "f", "g"]])
    result = df.to_html(index=False)
    expected = expected_html(datapath, "gh22579_expected_output")
    assert result == expected


@pytest.mark.parametrize("index_names", [True, False])
@pytest.mark.parametrize("header", [True, False])
@pytest.mark.parametrize("index", [True, False])
@pytest.mark.parametrize(
    "column_index, column_type",
    [
        (Index([0, 1]), "unnamed_standard"),
        (Index([0, 1], name="columns.name"), "named_standard"),
        (MultiIndex.from_product([["a"], ["b", "c"]]), "unnamed_multi"),
        (
            MultiIndex.from_product(
                [["a"], ["b", "c"]], names=["columns.name.0", "columns.name.1"]
            ),
            "named_multi",
        ),
    ],
)
@pytest.mark.parametrize(
    "row_index, row_type",
    [
        (Index([0, 1]), "unnamed_standard"),
        (Index([0, 1], name="index.name"), "named_standard"),
        (MultiIndex.from_product([["a"], ["b", "c"]]), "unnamed_multi"),
        (
            MultiIndex.from_product(
                [["a"], ["b", "c"]], names=["index.name.0", "index.name.1"]
            ),
            "named_multi",
        ),
    ],
)
def test_to_html_basic_alignment(
    datapath, row_index, row_type, column_index, column_type, index, header, index_names
):
    # GH 22747, GH 22579
    df = DataFrame(np.zeros((2, 2), dtype=int), index=row_index, columns=column_index)
    result = df.to_html(index=index, header=header, index_names=index_names)

    if not index:
        row_type = "none"
    elif not index_names and row_type.startswith("named"):
        row_type = "un" + row_type

    if not header:
        column_type = "none"
    elif not index_names and column_type.startswith("named"):
        column_type = "un" + column_type

    filename = "index_" + row_type + "_columns_" + column_type
    expected = expected_html(datapath, filename)
    assert result == expected


@pytest.mark.parametrize("index_names", [True, False])
@pytest.mark.parametrize("header", [True, False])
@pytest.mark.parametrize("index", [True, False])
@pytest.mark.parametrize(
    "column_index, column_type",
    [
        (Index(np.arange(8)), "unnamed_standard"),
        (Index(np.arange(8), name="columns.name"), "named_standard"),
        (
            MultiIndex.from_product([["a", "b"], ["c", "d"], ["e", "f"]]),
            "unnamed_multi",
        ),
        (
            MultiIndex.from_product(
                [["a", "b"], ["c", "d"], ["e", "f"]], names=["foo", None, "baz"]
            ),
            "named_multi",
        ),
    ],
)
@pytest.mark.parametrize(
    "row_index, row_type",
    [
        (Index(np.arange(8)), "unnamed_standard"),
        (Index(np.arange(8), name="index.name"), "named_standard"),
        (
            MultiIndex.from_product([["a", "b"], ["c", "d"], ["e", "f"]]),
            "unnamed_multi",
        ),
        (
            MultiIndex.from_product(
                [["a", "b"], ["c", "d"], ["e", "f"]], names=["foo", None, "baz"]
            ),
            "named_multi",
        ),
    ],
)
def test_to_html_alignment_with_truncation(
    datapath, row_index, row_type, column_index, column_type, index, header, index_names
):
    # GH 22747, GH 22579
    df = DataFrame(np.arange(64).reshape(8, 8), index=row_index, columns=column_index)
    result = df.to_html(
        max_rows=4, max_cols=4, index=index, header=header, index_names=index_names
    )

    if not index:
        row_type = "none"
    elif not index_names and row_type.startswith("named"):
        row_type = "un" + row_type

    if not header:
        column_type = "none"
    elif not index_names and column_type.startswith("named"):
        column_type = "un" + column_type

    filename = "trunc_df_index_" + row_type + "_columns_" + column_type
    expected = expected_html(datapath, filename)
    assert result == expected


@pytest.mark.parametrize("index", [False, 0])
def test_to_html_truncation_index_false_max_rows(datapath, index):
    # GH 15019
    data = [
        [1.764052, 0.400157],
        [0.978738, 2.240893],
        [1.867558, -0.977278],
        [0.950088, -0.151357],
        [-0.103219, 0.410599],
    ]
    df = DataFrame(data)
    result = df.to_html(max_rows=4, index=index)
    expected = expected_html(datapath, "gh15019_expected_output")
    assert result == expected


@pytest.mark.parametrize("index", [False, 0])
@pytest.mark.parametrize(
    "col_index_named, expected_output",
    [(False, "gh22783_expected_output"), (True, "gh22783_named_columns_index")],
)
def test_to_html_truncation_index_false_max_cols(
    datapath, index, col_index_named, expected_output
):
    # GH 22783
    data = [
        [1.764052, 0.400157, 0.978738, 2.240893, 1.867558],
        [-0.977278, 0.950088, -0.151357, -0.103219, 0.410599],
    ]
    df = DataFrame(data)
    if col_index_named:
        df.columns.rename("columns.name", inplace=True)
    result = df.to_html(max_cols=4, index=index)
    expected = expected_html(datapath, expected_output)
    assert result == expected


@pytest.mark.parametrize("notebook", [True, False])
def test_to_html_notebook_has_style(notebook):
    df = DataFrame({"A": [1, 2, 3]})
    result = df.to_html(notebook=notebook)

    if notebook:
        assert "tbody tr th:only-of-type" in result
        assert "vertical-align: middle;" in result
        assert "thead th" in result
    else:
        assert "tbody tr th:only-of-type" not in result
        assert "vertical-align: middle;" not in result
        assert "thead th" not in result


def test_to_html_with_index_names_false():
    # GH 16493
    df = DataFrame({"A": [1, 2]}, index=Index(["a", "b"], name="myindexname"))
    result = df.to_html(index_names=False)
    assert "myindexname" not in result


def test_to_html_with_id():
    # GH 8496
    df = DataFrame({"A": [1, 2]}, index=Index(["a", "b"], name="myindexname"))
    result = df.to_html(index_names=False, table_id="TEST_ID")
    assert ' id="TEST_ID"' in result


@pytest.mark.parametrize(
    "value,float_format,expected",
    [
        (0.19999, "%.3f", "gh21625_expected_output"),
        (100.0, "%.0f", "gh22270_expected_output"),
    ],
)
def test_to_html_float_format_no_fixed_width(value, float_format, expected, datapath):
    # GH 21625, GH 22270
    df = DataFrame({"x": [value]})
    expected = expected_html(datapath, expected)
    result = df.to_html(float_format=float_format)
    assert result == expected


@pytest.mark.parametrize(
    "render_links,expected",
    [(True, "render_links_true"), (False, "render_links_false")],
)
def test_to_html_render_links(render_links, expected, datapath):
    # GH 2679
    data = [
        [0, "https://pandas.pydata.org/?q1=a&q2=b", "pydata.org"],
        [0, "www.pydata.org", "pydata.org"],
    ]
    df = DataFrame(data, columns=["foo", "bar", None])

    result = df.to_html(render_links=render_links)
    expected = expected_html(datapath, expected)
    assert result == expected


@pytest.mark.parametrize(
    "method,expected",
    [
        ("to_html", lambda x: lorem_ipsum),
        ("_repr_html_", lambda x: lorem_ipsum[: x - 4] + "..."),  # regression case
    ],
)
@pytest.mark.parametrize("max_colwidth", [10, 20, 50, 100])
def test_ignore_display_max_colwidth(method, expected, max_colwidth):
    # see gh-17004
    df = DataFrame([lorem_ipsum])
    with option_context("display.max_colwidth", max_colwidth):
        result = getattr(df, method)()
    expected = expected(max_colwidth)
    assert expected in result


@pytest.mark.parametrize("classes", [True, 0])
def test_to_html_invalid_classes_type(classes):
    # GH 25608
    df = DataFrame()
    msg = "classes must be a string, list, or tuple"

    with pytest.raises(TypeError, match=msg):
        df.to_html(classes=classes)


def test_to_html_round_column_headers():
    # GH 17280
    df = DataFrame([1], columns=[0.55555])
    with option_context("display.precision", 3):
        html = df.to_html(notebook=False)
        notebook = df.to_html(notebook=True)
    assert "0.55555" in html
    assert "0.556" in notebook


@pytest.mark.parametrize("unit", ["100px", "10%", "5em", 150])
def test_to_html_with_col_space_units(unit):
    # GH 25941
    df = DataFrame(np.random.random(size=(1, 3)))
    result = df.to_html(col_space=unit)
    result = result.split("tbody")[0]
    hdrs = [x for x in result.split("\n") if re.search(r"<th[>\s]", x)]
    if isinstance(unit, int):
        unit = str(unit) + "px"
    for h in hdrs:
        expected = f'<th style="min-width: {unit};">'
        assert expected in h


def test_html_repr_min_rows_default(datapath):
    # gh-27991

    # default setting no truncation even if above min_rows
    df = DataFrame({"a": range(20)})
    result = df._repr_html_()
    expected = expected_html(datapath, "html_repr_min_rows_default_no_truncation")
    assert result == expected

    # default of max_rows 60 triggers truncation if above
    df = DataFrame({"a": range(61)})
    result = df._repr_html_()
    expected = expected_html(datapath, "html_repr_min_rows_default_truncated")
    assert result == expected


@pytest.mark.parametrize(
    "max_rows,min_rows,expected",
    [
        # truncated after first two rows
        (10, 4, "html_repr_max_rows_10_min_rows_4"),
        # when set to None, follow value of max_rows
        (12, None, "html_repr_max_rows_12_min_rows_None"),
        # when set value higher as max_rows, use the minimum
        (10, 12, "html_repr_max_rows_10_min_rows_12"),
        # max_rows of None -> never truncate
        (None, 12, "html_repr_max_rows_None_min_rows_12"),
    ],
)
def test_html_repr_min_rows(datapath, max_rows, min_rows, expected):
    # gh-27991

    df = DataFrame({"a": range(61)})
    expected = expected_html(datapath, expected)
    with option_context("display.max_rows", max_rows, "display.min_rows", min_rows):
        result = df._repr_html_()
    assert result == expected


def test_to_html_multilevel(multiindex_year_month_day_dataframe_random_data):
    ymd = multiindex_year_month_day_dataframe_random_data

    ymd.columns.name = "foo"
    ymd.to_html()
    ymd.T.to_html()


@pytest.mark.parametrize("na_rep", ["NaN", "Ted"])
def test_to_html_na_rep_and_float_format(na_rep, datapath):
    # https://github.com/pandas-dev/pandas/issues/13828
    df = DataFrame(
        [
            ["A", 1.2225],
            ["A", None],
        ],
        columns=["Group", "Data"],
    )
    result = df.to_html(na_rep=na_rep, float_format="{:.2f}".format)
    expected = expected_html(datapath, "gh13828_expected_output")
    expected = expected.format(na_rep=na_rep)
    assert result == expected


def test_to_html_na_rep_non_scalar_data(datapath):
    # GH47103
    df = DataFrame([dict(a=1, b=[1, 2, 3])])
    result = df.to_html(na_rep="-")
    expected = expected_html(datapath, "gh47103_expected_output")
    assert result == expected


def test_to_html_float_format_object_col(datapath):
    # GH#40024
    df = DataFrame(data={"x": [1000.0, "test"]})
    result = df.to_html(float_format=lambda x: f"{x:,.0f}")
    expected = expected_html(datapath, "gh40024_expected_output")
    assert result == expected