ormats.style.Styler.set_properties.html)
    * [ pandas.io.formats.style.Styler.set_uuid ](pandas.io.formats.style.Styler.set_uuid.html)
    * [ pandas.io.formats.style.Styler.clear ](pandas.io.formats.style.Styler.clear.html)
    * [ pandas.io.formats.style.Styler.pipe ](pandas.io.formats.style.Styler.pipe.html)
    * pandas.io.formats.style.Styler.highlight_null 
    * [ pandas.io.formats.style.Styler.highlight_max ](pandas.io.formats.style.Styler.highlight_max.html)
    * [ pandas.io.formats.style.Styler.highlight_min ](pandas.io.formats.style.Styler.highlight_min.html)
    * [ pandas.io.formats.style.Styler.highlight_between ](pandas.io.formats.style.Styler.highlight_between.html)
    * [ pandas.io.formats.style.Styler.highlight_quantile ](pandas.io.formats.style.Styler.highlight_quantile.html)
    * [ pandas.io.formats.style.Styler.background_gradient ](pandas.io.formats.style.Styler.background_gradient.html)
    * [ pandas.io.formats.style.Styler.text_gradient ](pandas.io.formats.style.Styler.text_gradient.html)
    * [ pandas.io.formats.style.Styler.bar ](pandas.io.formats.style.Styler.bar.html)
    * [ pandas.io.formats.style.Styler.to_html ](pandas.io.formats.style.Styler.to_html.html)
    * [ pandas.io.formats.style.Styler.to_latex ](pandas.io.formats.style.Styler.to_latex.html)
    * [ pandas.io.formats.style.Styler.to_excel ](pandas.io.formats.style.Styler.to_excel.html)
    * [ pandas.io.formats.style.Styler.to_string ](pandas.io.formats.style.Styler.to_string.html)
    * [ pandas.io.formats.style.Styler.export ](pandas.io.formats.style.Styler.export.html)
    * [ pandas.io.formats.style.Styler.use ](pandas.io.formats.style.Styler.use.html)
  * [ Plotting ](../plotting.html)
  * [ Options and settings ](../options.html)
  * [ Extensions ](../extensions.html)
  * [ Testing ](../testing.html)
  * [ Missing values ](../missing_value.html)

  * [ __ ](../../index.html)
  * [ API reference ](../index.html)
  * [ Style ](../style.html)
  * pandas.io.fo... 

#  pandas.io.formats.style.Styler.highlight_null  #

Styler.  highlight_null  (  _ color  =  'red'  _ , _ subset  =  None  _ , _
props  =  None  _ )  [ [source]  ](https://github.com/pandas-
dev/pandas/blob/v2.2.2/pandas/io/formats/style.py#L3175-L3226) #

    

Highlight missing values with a style.

Parameters  :

    

**color** str, default âredâ

    

Background color to use for highlighting.

> New in version 1.5.0.

**subset** label, 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.

**props** str, default None

    

CSS properties to use for highlighting. If ` props  ` is given, ` color  ` is
not used.

> New in version 1.3.0.

Returns  :

    

Styler

    

See also

[ ` Styler.highlight_max  `
](pandas.io.formats.style.Styler.highlight_max.html#pandas.io.formats.style.Styler.highlight_max
"pandas.io.formats.style.Styler.highlight_max")

    

Highlight the maximum with a style.

[ ` Styler.highlight_min  `
](pandas.io.formats.style.Styler.highlight_min.html#pandas.io.formats.style.Styler.highlight_min
"pandas.io.formats.style.Styler.highlight_min")

    

Highlight the minimum with a style.

[ ` Styler.highlight_between  `
](pandas.io.formats.style.Styler.highlight_between.html#pandas.io.formats.style.Styler.highlight_between
"pandas.io.formats.style.Styler.highlight_between")

    

Highlight a defined range with a style.

[ ` Styler.highlight_quantile  `
](pandas.io.formats.style.Styler.highlight_quantile.html#pandas.io.formats.style.Styler.highlight_quantile
"pandas.io.formats.style.Styler.highlight_quantile")

    

Highlight values defined by a quantile with a style.

Examples

    
    
    >>> df = pd.DataFrame({'A': [1, 2], 'B': [3, np.nan]})
    >>> df.style.highlight_null(color='yellow')  
    

Please see: [ Table Visualization  ](../../us