API: add top-level melt function as method by ResidentMario · Pull Request #15521 · pandas-dev/pandas (original) (raw)

Signature: pd.DataFrame.melt(self, id_vars=None, value_vars=None, var_name=None, value_name='value', col_level=None)
Docstring:
    "Unpivots" a DataFrame from wide format to long format, optionally leaving
    identifier variables set.

    This function is useful to massage a DataFrame into a format where one
    or more columns are identifier variables (`id_vars`), while all other
    columns, considered measured variables (`value_vars`), are "unpivoted" to
    the row axis, leaving just two non-identifier columns, 'variable' and
    'value'.

.. versionadded:: 0.20.0


    Parameters
    ----------
    ....

so the versionadded is not indented as the other lines.