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# 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, force_unicode=None)

  Render a DataFrame to a tabular environment table. You can splice this into a LaTeX document.

  to_latex-specific options:

  bold_rows : boolean, default True
    Make the row labels bold in the output

  Parameters : | frame : DataFrame object to render 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, if the result is a string , it 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 sparsify : bool, optional Set to False for a DataFrame with a hierarchical index to print every multiindex key at each row, default True justify : {‘left’, ‘right’}, default None Left or right-justify the column labels. If None uses the option from the print configuration (controlled by set_option), ‘right’ out of the box. index_names : bool, optional Prints the names of the indexes, default True force_unicode : bool, default False Always return a unicode result. Deprecated in v0.10.0 as string formatting is now rendered to unicode by default.
  Returns : | formatted : string (or unicode, depending on data and options)

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