pandas.Series.to_markdown
- Series.to_markdown(buf=None, mode='wt', index=True, storage_options=None, **kwargs)[source]
-
Print Series in Markdown-friendly format.
New in version 1.0.0.
- 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.
New in version 1.1.0.
- 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
as header options. For other URLs (e.g. starting with “s3://”, and “gcs://”) the key-value pairs are forwarded tofsspec
. Please seefsspec
andurllib
for more details.New in version 1.2.0.
- **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 | +----+----------+
© 2008–2021, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/1.3.4/reference/api/pandas.Series.to_markdown.html