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Classe « DataFrame »

Méthode pandas.DataFrame.to_string

Signature de la méthode to_string

def to_string(self, buf: 'FilePath | WriteBuffer[str] | None' = None, *, columns: 'Axes | None' = None, col_space: 'int | list[int] | dict[Hashable, int] | None' = None, header: 'bool | SequenceNotStr[str]' = True, index: 'bool' = True, na_rep: 'str' = 'NaN', formatters: 'fmt.FormattersType | None' = None, float_format: 'fmt.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' = False, decimal: 'str' = '.', line_width: 'int | None' = None, min_rows: 'int | None' = None, max_colwidth: 'int | None' = None, encoding: 'str | None' = None) -> 'str | None' 

Description

help(DataFrame.to_string)

Render a DataFrame to a console-friendly tabular output.

        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 : int, list or dict of int, optional
            The minimum width of each column. If a list of ints is given every integers corresponds with one column. If a dict is given, the key references the column, while the value defines the space to use..
        header : bool or list of str, optional
            Write out the column names. If a list of columns is given, it is assumed to be aliases for the column names.
        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.
    
line_width : int, optional
    Width to wrap a line in characters.
min_rows : int, optional
    The number of rows to display in the console in a truncated repr
    (when number of rows is above `max_rows`).
max_colwidth : int, optional
    Max width to truncate each column in characters. By default, no limit.
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_html : Convert DataFrame to HTML.

Examples
--------
>>> d = {'col1': [1, 2, 3], 'col2': [4, 5, 6]}
>>> df = pd.DataFrame(d)
>>> print(df.to_string())
   col1  col2
0     1     4
1     2     5
2     3     6

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