pandas.Series.to_markdown

Series.to_markdown(buf=None, mode='wt', index=True, storage_options=None, **kwargs)[source]

Print Series in Markdown-friendly format.

Parameters:

buf:str, Path or StringIO-like, optional, default None

Buffer to write to. If None, the output is returned as a string.

mode:str, optional

Mode in which file is opened, “wt” by default.

index:bool, optional, default True

Add index (row) labels.

storage_options:dict, optional

Extra options that make sense for a particular storage connection, e.g. host, port, username, password, etc. For HTTP(S) URLs the key-value pairs are forwarded to urllib.request.Request as header options. For other URLs (e.g. starting with “s3://”, and “gcs://”) the key-value pairs are forwarded to fsspec.open. Please see fsspec and urllib for more details, and for more examples on storage options refer here.

**kwargs

These parameters will be passed to tabulate.

Returns:

str

Series in Markdown-friendly format.

Notes

Requires the tabulate package.

Examples

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

Output markdown with a tabulate option.

>>> print(s.to_markdown(tablefmt="grid"))
+----+----------+
|    | animal   |
+====+==========+
|  0 | elk      |
+----+----------+
|  1 | pig      |
+----+----------+
|  2 | dog      |
+----+----------+
|  3 | quetzal  |
+----+----------+