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_null.html)
    * [ 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.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_quantile  #

Styler.  highlight_quantile  (  _ subset  =  None  _ , _ color  =  'yellow'  _
, _ axis  =  0  _ , _ q_left  =  0.0  _ , _ q_right  =  1.0  _ , _
interpolation  =  'linear'  _ , _ inclusive  =  'both'  _ , _ props  =  None
_ )  [ [source]  ](https://github.com/pandas-
dev/pandas/blob/v2.2.2/pandas/io/formats/style.py#L3448-L3555) #

    

Highlight values defined by a quantile with a style.

New in version 1.3.0.

Parameters  :

    

**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.

**color** str, default âyellowâ

    

Background color to use for highlighting.

**axis** {0 or âindexâ, 1 or âcolumnsâ, None}, default 0

    

Axis along which to determine and highlight quantiles. If ` None  ` quantiles
are measured over the entire DataFrame. See examples.

**q_left** float, default 0

    

Left bound, in [0, q_right), for the target quantile range.

**q_right** float, default 1

    

Right bound, in (q_left, 1], for the target quantile range.

**interpolation** {âlinearâ, âlowerâ, âhigherâ, âmidpointâ,
ânearestâ}

    

Argument passed to ` Series.quantile  ` or ` DataFrame.quantile  ` for
quantile estimation.

**inclusive** {âbothâ, âneitherâ, âleftâ, ârightâ}

    

Identify whether quantile bounds are closed or open.

**props** str, default None

    

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

Returns  :

    

Styler

    

See also

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

    

Highlight missing values with a style.

[ ` Styler.highlight_max  `
](pandas.io.for