pandas.io.formats.style.Styler.highlight_max#

Styler.highlight_max(subset=None, color='yellow', axis=0, props=None)[source]#

Highlight the maximum with a style.

Parameters:

subsetlabel, array-like, IndexSlice, optional: A valid 2d input to DataFrame.loc[<subset>], or, in the case of a 1d input or single key, to DataFrame.loc[:, <subset>] where the columns are prioritised, to limit data to before applying the function.
colorstr, default ‘yellow’: Background color to use for highlighting.
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.
propsstr, default None: CSS properties to use for highlighting. If props is given, color is not used.

Added in version 1.3.0.

Returns:

See also

Styler.highlight_null: Highlight missing values with a style.
Styler.highlight_min: Highlight the minimum with a style.
Styler.highlight_between: Highlight a defined range with a style.
Styler.highlight_quantile: Highlight values defined by a quantile with a style.

Examples

>>> df = pd.DataFrame({"A": [2, 1], "B": [3, 4]})
>>> df.style.highlight_max(color="yellow")  

Please see: Table Visualization for more examples.