modin.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, max_rows=None, max_cols=None, show_dimensions=False, decimal='.', bold_rows=True, classes=None, escape=True, notebook=False, border=None, table_id=None, render_links=False, encoding=None) → Optional[str][source]

Render a DataFrame as an HTML table.

Parameters:

  • buf (str, Path or StringIO-like, optional, default None) – Buffer to write to. If None, the output is returned as a string.

  • columns (array-like, optional, default None) – The subset of columns to write. Writes all columns by default.

  • col_space (str or int, list or dict of int or str, optional) – The minimum width of each column in CSS length units. An int is assumed to be px units..

  • header (bool, optional) – Whether to print column labels, default True.

  • index (bool, optional, default True) – Whether to print index (row) labels.

  • na_rep (str, optional, default ‘NaN’) – String representation of NaN to use.

  • formatters (list, tuple or dict of one-param. functions, optional) – Formatter functions to apply to columns’ elements by position or name. The result of each function must be a unicode string. List/tuple must be of length equal to the number of columns.

  • float_format (one-parameter function, optional, default None) – Formatter function to apply to columns’ elements if they are floats. This function must return a unicode string and will be applied only to the non-NaN elements, with NaN being handled by na_rep.

  • sparsify (bool, optional, default True) – Set to False for a DataFrame with a hierarchical index to print every multiindex key at each row.

  • index_names (bool, optional, default True) – Prints the names of the indexes.

  • justify (str, 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. Valid values are - left - right - center - justify - justify-all - start - end - inherit - match-parent - initial - unset.

  • max_rows (int, optional) – Maximum number of rows to display in the console.

  • max_cols (int, optional) – Maximum number of columns to display in the console.

  • show_dimensions (bool, default False) – Display DataFrame dimensions (number of rows by number of columns).

  • decimal (str, default ‘.’) – Character recognized as decimal separator, e.g. ‘,’ in Europe.

  • bold_rows (bool, 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 (bool, default True) – Convert the characters <, >, and & to HTML-safe sequences.

  • notebook ({True, False}, default False) – Whether the generated HTML is for IPython Notebook.

  • border (int) – A border=border attribute is included in the opening <table> tag. Default pd.options.display.html.border.

  • table_id (str, optional) – A css id is included in the opening <table> tag if specified.

  • render_links (bool, default False) – Convert URLs to HTML links.

  • encoding (str, default “utf-8”) – Set character encoding.

Returns:

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

Return type:

str or None

See also

to_string

Convert DataFrame to a string.

Examples

>>> df = pd.DataFrame(data={'col1': [1, 2], 'col2': [4, 3]})
>>> html_string = '''<table border="1" class="dataframe">
...   <thead>
...     <tr style="text-align: right;">
...       <th></th>
...       <th>col1</th>
...       <th>col2</th>
...     </tr>
...   </thead>
...   <tbody>
...     <tr>
...       <th>0</th>
...       <td>1</td>
...       <td>4</td>
...     </tr>
...     <tr>
...       <th>1</th>
...       <td>2</td>
...       <td>3</td>
...     </tr>
...   </tbody>
... </table>'''
>>> assert html_string == df.to_html()
Copy
Language: English