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Classe « DataFrame »
Signature de la méthode to_html
def to_html(self, buf: 'FilePath | WriteBuffer[str] | None' = None, *, columns: 'Axes | None' = None, col_space: 'ColspaceArgType | None' = None, header: 'bool' = True, index: 'bool' = True, na_rep: 'str' = 'NaN', formatters: 'FormattersType | None' = None, float_format: 'FloatFormatType | None' = None, sparsify: 'bool | None' = None, index_names: 'bool' = True, justify: 'str | None' = None, max_rows: 'int | None' = None, max_cols: 'int | None' = None, show_dimensions: 'bool | str' = False, decimal: 'str' = '.', bold_rows: 'bool' = True, classes: 'str | list | tuple | None' = None, escape: 'bool' = True, notebook: 'bool' = False, border: 'int | bool | None' = None, table_id: 'str | None' = None, render_links: 'bool' = False, encoding: 'str | None' = None) -> 'str | None'
Description
help(DataFrame.to_html)
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
-------
str or None
If buf is None, returns the result as a string. Otherwise returns
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()
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