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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='.')[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
- Make the row labels bold in the output
- column_format
: str, default NoneThe columns format as specified in LaTeX table format e.g ?rcl? for 3 columns longtable : boolean, default will be read from the pandas config moduledefault: 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 moduledefault: True When set to False prevents from escaping latex special characters in column names. encoding : str, default NoneA 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.
| 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 line_width : int, optional Width to wrap a line in characters, default no wrap |
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| Returns: |
formatted : string (or unicode, depending on data and options) |
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