pandas.Series.to_latex

Series.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=False, column_format=None, longtable=None, escape=None, encoding=None, decimal='.', multicolumn=None, multicolumn_format=None, multirow=None)

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 : str, optional

Format string for floating point numbers.

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 ‘ascii’ on Python 2 and ‘utf-8’ on Python 3.

decimal : str, default ‘.’

Character recognized as decimal separator, e.g. ‘,’ in Europe. .. versionadded:: 0.18.0

multicolumn : bool, default True

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