def background_gradient(self, cmap='<STR_LIT>', low=<NUM_LIT:0>, high=<NUM_LIT:0>, axis=<NUM_LIT:0>,<EOL>subset=None, text_color_threshold=<NUM_LIT>):
subset = _maybe_numeric_slice(self.data, subset)<EOL>subset = _non_reducing_slice(subset)<EOL>self.apply(self._background_gradient, cmap=cmap, subset=subset,<EOL>axis=axis, low=low, high=high,<EOL>text_color_threshold=text_color_threshold)<EOL>return self<EOL>
Color the background in a gradient according to
the data in each column (optionally row).

Requires matplotlib.

Parameters
----------
cmap : str or colormap
    matplotlib colormap
low, high : float
    compress the range by these values.
axis : {0 or 'index', 1 or 'columns', None}, default 0
    apply to each column (``axis=0`` or ``'index'``), to each row
    (``axis=1`` or ``'columns'``), or to the entire DataFrame at once
    with ``axis=None``.
subset : IndexSlice
    a valid slice for ``data`` to limit the style application to.
text_color_threshold : float or int
    luminance threshold for determining text color. Facilitates text
    visibility across varying background colors. From 0 to 1.
    0 = all text is dark colored, 1 = all text is light colored.

    .. versionadded:: 0.24.0

Returns
-------
self : Styler

Raises
------
ValueError
    If ``text_color_threshold`` is not a value from 0 to 1.

Notes
-----
Set ``text_color_threshold`` or tune ``low`` and ``high`` to keep the
text legible by not using the entire range of the color map. The range
of the data is extended by ``low * (x.max() - x.min())`` and ``high *
(x.max() - x.min())`` before normalizing.