pandas.DataFrame.to_latex

DataFrame.to_latex(buf=None, columns=None, col_space=None, header=True, index=True, na_rep=’NaN’, formatters=None, float_format=None, sparsify=None, index_names=True, bold_rows=True, column_format=None, longtable=None, escape=None, encoding=None, decimal=’.’, multicolumn=None, multicolumn_format=None, multirow=None)

Render an object to a tabular environment table. You can splice this into a LaTeX document. Requires usepackage{booktabs}.

Changed in version 0.20.2: Added to Series

to_latex-specific options:

bold_rows : boolean, default True

Make the row labels bold in the output

column_format : str, default None

The columns format as specified in LaTeX table format e.g ‘rcl’ for 3 columns

longtable : boolean, default will be read from the pandas config module

Default: False. Use a longtable environment instead of tabular. Requires adding a usepackage{longtable} to your LaTeX preamble.

escape : boolean, default will be read from the pandas config module

Default: True. When set to False prevents from escaping latex special characters in column names.

encoding : str, default None

A string representing the encoding to use in the output file, defaults to ‘ascii’ on Python 2 and ‘utf-8’ on Python 3.

decimal : string, default ‘.’

Character recognized as decimal separator, e.g. ‘,’ in Europe.

New in version 0.18.0.

multicolumn : boolean, default True

Use multicolumn to enhance MultiIndex columns. The default will be read from the config module.

New in version 0.20.0.

multicolumn_format : str, default ‘l’

The alignment for multicolumns, similar to column_format The default will be read from the config module.

New in version 0.20.0.

multirow : boolean, default False

Use multirow to enhance MultiIndex rows. Requires adding a usepackage{multirow} to your LaTeX preamble. Will print centered labels (instead of top-aligned) across the contained rows, separating groups via clines. The default will be read from the pandas config module.

New in version 0.20.0.