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:
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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© 2008–2014 the pandas development team
Licensed under the 3-clause BSD License.
http://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.DataFrame.to_latex.html