pandas.io.formats.style.Styler

class pandas.io.formats.style.Styler(data, precision=None, table_styles=None, uuid=None, caption=None, table_attributes=None, cell_ids=True, na_rep=None, uuid_len=5, decimal='.', thousands=None, escape=None)

Helps style a DataFrame or Series according to the data with HTML and CSS.

Parameters

dataSeries or DataFrame

Data to be styled - either a Series or DataFrame.

precisionint

Precision to round floats to, defaults to pd.options.display.precision.

table_styleslist-like, default None

List of {selector: (attr, value)} dicts; see Notes.

uuidstr, default None

A unique identifier to avoid CSS collisions; generated automatically.

captionstr, tuple, default None

String caption to attach to the table. Tuple only used for LaTeX dual captions.

table_attributesstr, default None

Items that show up in the opening <table> tag in addition to automatic (by default) id.

cell_idsbool, default True

If True, each cell will have an id attribute in their HTML tag. The id takes the form T_<uuid>_row<num_row>_col<num_col> where <uuid> is the unique identifier, <num_row> is the row number and <num_col> is the column number.

na_repstr, optional

Representation for missing values. If na_rep is None, no special formatting is applied.

New in version 1.0.0.

uuid_lenint, default 5

If uuid is not specified, the length of the uuid to randomly generate expressed in hex characters, in range [0, 32].

New in version 1.2.0.

decimalstr, default “.”

Character used as decimal separator for floats, complex and integers

New in version 1.3.0.

thousandsstr, optional, default None

Character used as thousands separator for floats, complex and integers

New in version 1.3.0.

escapestr, optional

Use ‘html’ to replace the characters &, <, >, ', and " in cell display string with HTML-safe sequences. Use ‘latex’ to replace the characters &, %, $, #, _, {, }, ~, ^, and \ in the cell display string with LaTeX-safe sequences.

New in version 1.3.0.

See also

DataFrame.style

Return a Styler object containing methods for building a styled HTML representation for the DataFrame.

Notes

Most styling will be done by passing style functions into Styler.apply or Styler.applymap. Style functions should return values with strings containing CSS 'attr: value' that will be applied to the indicated cells.

If using in the Jupyter notebook, Styler has defined a _repr_html_ to automatically render itself. Otherwise call Styler.render to get the generated HTML.

CSS classes are attached to the generated HTML

• Index and Column names include index_name and level<k> where k is its level in a MultiIndex

• Index label cells include

  • row_heading

  • row<n> where n is the numeric position of the row

  • level<k> where k is the level in a MultiIndex

• Column label cells include * col_heading * col<n> where n is the numeric position of the column * level<k> where k is the level in a MultiIndex

• Blank cells include blank

• Data cells include data

Attributes

env	(Jinja2 jinja2.Environment)
template	(Jinja2 Template)
loader	(Jinja2 Loader)

Methods

apply(func[, axis, subset])	Apply a CSS-styling function column-wise, row-wise, or table-wise.
applymap(func[, subset])	Apply a CSS-styling function elementwise.
background_gradient([cmap, low, high, axis, …])	Color the background in a gradient style.
bar([subset, axis, color, width, align, …])	Draw bar chart in the cell backgrounds.
clear()	Reset the Styler, removing any previously applied styles.
export()	Export the styles applied to the current Styler.
format([formatter, subset, na_rep, …])	Format the text display value of cells.
from_custom_template(searchpath[, …])	Factory function for creating a subclass of Styler.
hide_columns([subset])	Hide the column headers or specific keys in the columns from rendering.
hide_index([subset])	Hide the entire index, or specific keys in the index from rendering.
highlight_between([subset, color, axis, …])	Highlight a defined range with a style.
highlight_max([subset, color, axis, props])	Highlight the maximum with a style.
highlight_min([subset, color, axis, props])	Highlight the minimum with a style.
highlight_null([null_color, subset, props])	Highlight missing values with a style.
highlight_quantile([subset, color, axis, …])	Highlight values defined by a quantile with a style.
pipe(func, *args, **kwargs)	Apply func(self, *args, **kwargs), and return the result.
render([sparse_index, sparse_columns])	Render the Styler including all applied styles to HTML.
set_caption(caption)	Set the text added to a <caption> HTML element.
set_na_rep(na_rep)	(DEPRECATED) Set the missing data representation on a Styler.
set_precision(precision)	(DEPRECATED) Set the precision used to display values.
set_properties([subset])	Set defined CSS-properties to each <td> HTML element within the given subset.
set_sticky([axis, pixel_size, levels])	Add CSS to permanently display the index or column headers in a scrolling frame.
set_table_attributes(attributes)	Set the table attributes added to the <table> HTML element.
set_table_styles(table_styles[, axis, overwrite])	Set the table styles included within the <style> HTML element.
set_td_classes(classes)	Set the DataFrame of strings added to the class attribute of <td> HTML elements.
set_tooltips(ttips[, props, css_class])	Set the DataFrame of strings on Styler generating :hover tooltips.
set_uuid(uuid)	Set the uuid applied to id attributes of HTML elements.
text_gradient([cmap, low, high, axis, …])	Color the text in a gradient style.
to_excel(excel_writer[, sheet_name, na_rep, …])	Write Styler to an Excel sheet.
to_html([buf, table_uuid, table_attributes, …])	Write Styler to a file, buffer or string in HTML-CSS format.
to_latex([buf, column_format, position, …])	Write Styler to a file, buffer or string in LaTeX format.
use(styles)	Set the styles on the current Styler.
where(cond, value[, other, subset])	(DEPRECATED) Apply CSS-styles based on a conditional function elementwise.

Style pandas.io.formats.style.Styler.apply