class pandas.io.formats.style.Styler(data, precision=None, table_styles=None, uuid=None, caption=None, table_attributes=None) [source]
Helps style a DataFrame or Series according to the data with HTML and CSS.
| Parameters: |
precision: int precision to round floats to, defaults to pd.options.display.precision table_styles: list-like, default None list of {selector: (attr, value)} dicts; see Notes uuid: str, default None a unique identifier to avoid CSS collisons; generated automatically caption: str, default None caption to attach to the table |
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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 genterated HTML.
CSS classes are attached to the generated HTML
index_name and level<k> where k is its level in a MultiIndexrow_headingrow<n> where n is the numeric position of the rowlevel<k> where k is the level in a MultiIndexcol_heading * col<n> where n is the numeric position of the column * evel<k> where k is the level in a MultiIndexblank
data
| env | (Jinja2 Environment) |
| template | (Jinja2 Template) |
| loader | (Jinja2 Loader) |
apply(func[, axis, subset]) | Apply a function column-wise, row-wise, or table-wase, updating the HTML representation with the result. |
applymap(func[, subset]) | Apply a function elementwise, updating the HTML representation with the result. |
background_gradient([cmap, low, high, axis, …]) | Color the background in a gradient according to the data in each column (optionally row). |
bar([subset, axis, color, width, align]) | Color the background color proptional to the values in each column. |
clear() | “Reset” the styler, removing any previously applied styles. |
export() | Export the styles to applied to the current Styler. |
format(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(subset) | Hide columns from rendering. |
hide_index() | Hide any indices from rendering. |
highlight_max([subset, color, axis]) | Highlight the maximum by shading the background |
highlight_min([subset, color, axis]) | Highlight the minimum by shading the background |
highlight_null([null_color]) | Shade the background null_color for missing values. |
render(**kwargs) | Render the built up styles to HTML |
set_caption(caption) | Set the caption on a Styler |
set_precision(precision) | Set the precision used to render. |
set_properties([subset]) | Convenience method for setting one or more non-data dependent properties or each cell. |
set_table_attributes(attributes) | Set the table attributes. |
set_table_styles(table_styles) | Set the table styles on a Styler. |
set_uuid(uuid) | Set the uuid for a Styler. |
to_excel(excel_writer[, sheet_name, na_rep, …]) | Write Styler to an excel sheet |
use(styles) | Set the styles on the current Styler, possibly using styles from Styler.export. |
where(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. |
© 2008–2012, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
Licensed under the 3-clause BSD License.
http://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.io.formats.style.Styler.html