modin.pandas.Series.to_string

Series.to_string(buf=None, na_rep='NaN', float_format=None, header=True, index=True, length=False, dtype=False, name=False, max_rows=None, min_rows=None) → Optional[str][source] (https://github.com/snowflakedb/snowpark-python/blob/v1.42.0/.tox/docs/lib/python3.9/site-packages/modin/pandas/series.py#L2276-L2303)

Render a string representation of the Series.

Parameters:

  • buf (StringIO-like, optional) – Buffer to write to.

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

  • float_format (one-parameter function, optional) – Formatter function to apply to columns’ elements if they are floats, default None.

  • header (bool, default True) – Add the Series header (index name).

  • index (bool, optional) – Add index (row) labels, default True.

  • length (bool, default False) – Add the Series length.

  • dtype (bool, default False) – Add the Series dtype.

  • name (bool, default False) – Add the Series name if not None.

  • max_rows (int, optional) – Maximum number of rows to show before truncating. If None, show all.

  • min_rows (int, optional) – The number of rows to display in a truncated repr (when number of rows is above max_rows).

Returns:

String representation of Series if buf=None, otherwise None.

Return type:

str or None

Examples

>>> ser = pd.Series([1, 2, 3]).to_string()
>>> ser
'0    1\n1    2\n2    3'
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