pyspark.pandas.Series.to_markdown

Series.to_markdown(buf: Union[IO[str], str, None] = None, mode: Optional[str] = None) → str

Print Series or DataFrame in Markdown-friendly format.

Note

This method should only be used if the resulting pandas object is expected to be small, as all the data is loaded into the driver’s memory.

Parameters

buf: writable buffer, defaults to sys.stdout

Where to send the output. By default, the output is printed to sys.stdout. Pass a writable buffer if you need to further process the output.

mode: str, optional

Mode in which file is opened.

**kwargs

These parameters will be passed to tabulate.

Returns

str

Series or DataFrame in Markdown-friendly format.

Notes

Requires the tabulate package.

Examples

>>> psser = ps.Series(["elk", "pig", "dog", "quetzal"], name="animal")
>>> print(psser.to_markdown())  
|    | animal   |
|---:|:---------|
|  0 | elk      |
|  1 | pig      |
|  2 | dog      |
|  3 | quetzal  |

>>> psdf = ps.DataFrame(
...     data={"animal_1": ["elk", "pig"], "animal_2": ["dog", "quetzal"]}
... )
>>> print(psdf.to_markdown())  
|    | animal_1   | animal_2   |
|---:|:-----------|:-----------|
|  0 | elk        | dog        |
|  1 | pig        | quetzal    |

pyspark.pandas.Series.to_latex pyspark.pandas.Series.to_json