class, precision=None, table_styles=None, uuid=None, caption=None, table_attributes=None, cell_ids=True)[source]

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

dataSeries or DataFrame

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, default None

caption to attach to the table

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.

See also


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 * evel<k> where k is the level in a MultiIndex

  • Blank cells include blank

  • Data cells include data



(Jinja2 Environment)


(Jinja2 Template)


(Jinja2 Loader)


apply(self, func[, axis, subset])

Apply a function column-wise, row-wise, or table-wise, updating the HTML representation with the result.

applymap(self, func[, subset])

Apply a function elementwise, updating the HTML representation with the result.

background_gradient(self[, cmap, low, high, …])

Color the background in a gradient according to the data in each column (optionally row).

bar(self[, subset, axis, color, width, …])

Draw bar chart in the cell backgrounds.


Reset the styler, removing any previously applied styles.


Export the styles to applied to the current Styler.

format(self, formatter[, subset])

Format the text display value of cells.

from_custom_template(searchpath, name)

Factory function for creating a subclass of Styler with a custom template and Jinja environment.

hide_columns(self, subset)

Hide columns from rendering.


Hide any indices from rendering.

highlight_max(self[, subset, color, axis])

Highlight the maximum by shading the background.

highlight_min(self[, subset, color, axis])

Highlight the minimum by shading the background.

highlight_null(self[, null_color])

Shade the background null_color for missing values.

pipe(self, func, \*args, \*\*kwargs)

Apply func(self, *args, **kwargs), and return the result.

render(self, \*\*kwargs)

Render the built up styles to HTML.

set_caption(self, caption)

Set the caption on a Styler

set_precision(self, precision)

Set the precision used to render.

set_properties(self[, subset])

Convenience method for setting one or more non-data dependent properties or each cell.

set_table_attributes(self, attributes)

Set the table attributes.

set_table_styles(self, table_styles)

Set the table styles on a Styler.

set_uuid(self, uuid)

Set the uuid for a Styler.

to_excel(self, excel_writer[, sheet_name, …])

Write Styler to an Excel sheet.

use(self, styles)

Set the styles on the current Styler, possibly using styles from Styler.export.

where(self, cond, value[, other, subset])

Apply a function elementwise, updating the HTML representation with a style which is selected in accordance with the return value of a function.

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