pandas.DataFrame.to_html

DataFrame.to_html(buf=None, columns=None, col_space=None, header=True, index=True, na_rep='NaN', formatters=None, float_format=None, sparsify=None, index_names=True, justify=None, bold_rows=True, classes=None, escape=True, max_rows=None, max_cols=None, show_dimensions=False, notebook=False, decimal='.', border=None) [source]

Render a DataFrame as an HTML table.

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.=

max_rows : int, optional

Maximum number of rows to show before truncating. If None, show all.

max_cols : int, optional

Maximum number of columns to show before truncating. If None, show all.

decimal : string, default ‘.’

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

New in version 0.18.0.

border : int

A border=border attribute is included in the opening <table> tag. Default pd.options.html.border.

New in version 0.19.0.

Parameters:

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. 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, optional formatter function to apply to columns’ elements if they are floats, default None. The result of this function must be a unicode string. sparsify : bool, optional Set to False for a DataFrame with a hierarchical index to print every multiindex key at each row, default True index_names : bool, optional Prints the names of the indexes, default True line_width : int, optional Width to wrap a line in characters, default no wrap justify : {‘left’, ‘right’, ‘center’, ‘justify’, ‘justify-all’, ‘start’, ‘end’, ‘inherit’, ‘match-parent’, ‘initial’, ‘unset’}, default None How to justify the column labels. If None uses the option from the print configuration (controlled by set_option), ‘right’ out of the box.

Returns:

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