pandas.Series.to_latex

Series.to_latex(self, 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=False, column_format=None, longtable=None, escape=None, encoding=None, decimal='.', multicolumn=None, multicolumn_format=None, multirow=None, caption=None, label=None)

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

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 0.20.2: Added to Series.

Changed in version 1.0.0: Added caption and label arguments.

Parameters

bufstr, Path or StringIO-like, optional, default None

Buffer to write to. If None, the output is returned as a string.

columnslist of label, optional

The subset of columns to write. Writes all columns by default.

col_spaceint, optional

The minimum width of each column.

headerbool 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.

indexbool, default True

Write row names (index).

na_repstr, default ‘NaN’

Missing data representation.

formatterslist 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_formatone-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.

sparsifybool, 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_namesbool, default True

Prints the names of the indexes.

bold_rowsbool, default False

Make the row labels bold in the output.

column_formatstr, 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’.

longtablebool, optional

By default, the value will be read from the pandas config module. Use a longtable environment instead of tabular. Requires adding a usepackage{longtable} to your LaTeX preamble.

escapebool, optional

By default, the value will be read from the pandas config module. When set to False prevents from escaping latex special characters in column names.

encodingstr, optional

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

decimalstr, default ‘.’

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

multicolumnbool, default True

Use multicolumn to enhance MultiIndex columns. The default will be read from the config module.

multicolumn_formatstr, default ‘l’

The alignment for multicolumns, similar to column_format The default will be read from the config module.

multirowbool, default False

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.

captionstr, optional

The LaTeX caption to be placed inside \caption{} in the output.

New in version 1.0.0.

labelstr, optional

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

New in version 1.0.0.

Returns

str or None

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

See also

DataFrame.to_string

Render a DataFrame to a console-friendly tabular output.

DataFrame.to_html

Render a DataFrame as an HTML table.

Examples

>>> df = pd.DataFrame({'name': ['Raphael', 'Donatello'],
...                    'mask': ['red', 'purple'],
...                    'weapon': ['sai', 'bo staff']})
>>> print(df.to_latex(index=False))  
\begin{tabular}{lll}
 \toprule
       name &    mask &    weapon \\
 \midrule
    Raphael &     red &       sai \\
  Donatello &  purple &  bo staff \\
\bottomrule
\end{tabular}

pandas.Series.to_json pandas.Series.to_list