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# pandas.Series.to_latex

Series.to_latex(buf=None, *, columns=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, caption=None, label=None, position=None)

  Render object to a LaTeX tabular, longtable, or nested table.

  Requires `\usepackage{booktabs}`. The output can be copy/pasted into a main LaTeX document or read from an external file with `\input{table.tex}`.

  Changed in version 2.0.0: Refactored to use the Styler implementation via jinja2 templating.

  Parameters:
    buf str, Path or StringIO-like, optional, default 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.

    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. Braces must be escaped.

    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 one-parameter function or str, optional, default None

      Formatter for floating point numbers. For example `float_format="%.2f"` and `float_format="{:0.2f}".format` will both result in 0.1234 being formatted as 0.12.

    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

      Use a longtable environment instead of tabular. Requires adding a usepackage{longtable} to your LaTeX preamble. By default, the value will be read from the pandas config module, and set to True if the option `styler.latex.environment` is “longtable”.

      Changed in version 2.0.0: The pandas option affecting this argument has changed.

    escape bool, optional

      By default, the value will be read from the pandas config module and set to True if the option `styler.format.escape` is “latex”. When set to False prevents from escaping latex special characters in column names.

      Changed in version 2.0.0: The pandas option affecting this argument has changed, as has the default value to False.

    encoding str, optional

      A string representing the encoding to use in the output file, defaults to ‘utf-8’.

    decimal str, default ‘.’

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

    multicolumn bool, default True

      Use multicolumn to enhance MultiIndex columns. The default will be read from the config module, and is set as the option `styler.sparse.columns`.

      Changed in version 2.0.0: The pandas option affecting this argument has changed.

    multicolumn_format str, default ‘r’

      The alignment for multicolumns, similar to column_format The default will be read from the config module, and is set as the option `styler.latex.multicol_align`.

      Changed in version 2.0.0: The pandas option affecting this argument has changed, as has the default value to “r”.

    multirow bool, default True

      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, and is set as the option `styler.sparse.index`.

      Changed in version 2.0.0: The pandas option affecting this argument has changed, as has the default value to True.

    caption str or tuple, optional

      Tuple (full_caption, short_caption), which results in `\caption[short_caption]{full_caption}`; if a single string is passed, no short caption will be set.

    label str, optional

      The LaTeX label to be placed inside `\label{}` in the output. This is used with `\ref{}` in the main `.tex` file.

    position str, optional

      The LaTeX positional argument for tables, to be placed after `\begin{}` in the output.

  Returns:
    str or None

      If buf is None, returns the result as a string. Otherwise returns None.

  See also

  `io.formats.style.Styler.to_latex`

    Render a DataFrame to LaTeX with conditional formatting.

  `DataFrame.to_string`

    Render a DataFrame to a console-friendly tabular output.

  `DataFrame.to_html`

    Render a DataFrame as an HTML table.

  Notes

  As of v2.0.0 this method has changed to use the Styler implementation as part of `Styler.to_latex()` via `jinja2` templating. This means that `jinja2` is a requirement, and needs to be installed, for this method to function. It is advised that users switch to using Styler, since that implementation is more frequently updated and contains much more flexibility with the output.

  Examples

  Convert a general DataFrame to LaTeX with formatting:

      >>> df = pd.DataFrame(dict(name=['Raphael', 'Donatello'],
      ...                        age=[26, 45],
      ...                        height=[181.23, 177.65]))
      >>> print(df.to_latex(index=False,
      ...                   formatters={"name": str.upper},
      ...                   float_format="{:.1f}".format,
      ...                   ))
      \begin{tabular}{lrr}
      \toprule
      name & age & height \\
      \midrule
      RAPHAEL & 26 & 181.2 \\
      DONATELLO & 45 & 177.7 \\
      \bottomrule
      \end{tabular}