pandas.DataFrame.to_latex

DataFrame.to_latex(buf=None, columns=None, col_space=None, colSpace=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='.')[source]

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

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

Default encoding is ascii in Python 2 and utf-8 in Python 3

decimal : string, default ‘.’

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

New in version 0.18.0.

Parameters:

buf : StringIO-like, optional buffer to write to columns : sequence, optional the subset of columns to write; default None writes all columns col_space : int, optional the minimum width of each column header : bool, optional whether to print column labels, default True index : bool, optional whether to print index (row) labels, default True na_rep : string, optional string representation of NAN to use, default ‘NaN’ formatters : list or dict of one-parameter functions, optional formatter functions to apply to columns’ elements by position or name, default None. 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, optional formatter function to apply to columns’ elements if they are floats, default None. The result of this function must be a unicode string. sparsify : bool, optional Set to False for a DataFrame with a hierarchical index to print every multiindex key at each row, default True index_names : bool, optional Prints the names of the indexes, default True

Returns:

formatted : string (or unicode, depending on data and options)