pandas.DataFrame.to_html

DataFrame.to_html(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, justify=None, force_unicode=None, bold_rows=True, classes=None, escape=True)

to_html-specific options bold_rows : boolean, default True

Make the row labels bold in the output
classes : str or list or tuple, default None
CSS class(es) to apply to the resulting html table
escape : boolean, default True
Convert the characters <, >, and & to HTML-safe sequences.

Render a DataFrame to an html table.

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_printoptions), ‘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.

formatted : string (or unicode, depending on data and options)