pandas.Series.to_latex

Series.to_latex(self, 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=False, column_format=None, longtable=None, escape=None, encoding=None, decimal='.', multicolumn=None, multicolumn_format=None, multirow=None) [source]

Render an object to a LaTeX tabular environment table.

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

Parameters:

buf : file descriptor or None Buffer to write to. If None, the output is returned as a string. columns : list of label, optional The subset of columns to write. Writes all columns by default. col_space : int, optional The minimum width of each column. header : bool or list of str, default True Write out the column names. If a list of strings is given, it is assumed to be aliases for the column names. index : bool, default True Write row names (index). na_rep : str, default ‘NaN’ Missing data representation. formatters : list of functions or dict of {str: function}, optional Formatter functions to apply to columns’ elements by position or name. The result of each function must be a unicode string. List must be of length equal to the number of columns. float_format : one-parameter function or str, optional, default None Formatter for floating point numbers. For example float_format="%%.2f" and float_format="{:0.2f}".format will both result in 0.1234 being formatted as 0.12. sparsify : bool, optional Set to False for a DataFrame with a hierarchical index to print every multiindex key at each row. By default, the value will be read from the config module. index_names : bool, default True Prints the names of the indexes. bold_rows : bool, default False Make the row labels bold in the output. column_format : str, optional The columns format as specified in LaTeX table format e.g. ‘rcl’ for 3 columns. By default, ‘l’ will be used for all columns except columns of numbers, which default to ‘r’. longtable : bool, optional By default, the value will be read from the pandas config module. Use a longtable environment instead of tabular. Requires adding a usepackage{longtable} to your LaTeX preamble. escape : bool, optional By default, the value will be read from the pandas config module. When set to False prevents from escaping latex special characters in column names. encoding : str, optional A string representing the encoding to use in the output file, defaults to ‘utf-8’. decimal : str, default ‘.’ Character recognized as decimal separator, e.g. ‘,’ in Europe. New in version 0.18.0. multicolumn : bool, 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 : bool, 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.

Returns:

str or None If buf is None, returns the resulting LateX format as a string. Otherwise returns None.

See also

DataFrame.to_string

Render a DataFrame to a console-friendly tabular output.

DataFrame.to_html

Render a DataFrame as an HTML table.

Examples

>>> df = pd.DataFrame({'name': ['Raphael', 'Donatello'],
...                    'mask': ['red', 'purple'],
...                    'weapon': ['sai', 'bo staff']})
>>> df.to_latex(index=False) # doctest: +NORMALIZE_WHITESPACE
'\\begin{tabular}{lll}\n\\toprule\n      name &    mask &    weapon
\\\\\n\\midrule\n   Raphael &     red &       sai \\\\\n Donatello &
 purple &  bo staff \\\\\n\\bottomrule\n\\end{tabular}\n'