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)