- API reference
- Series
- pandas.Serie...
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:
- bufstr, Path or StringIO-like, optional, default None
Buffer to write to. If None, the output is returned as a string.
- modestr, optional
Mode in which file is opened, “wt” by default.
- indexbool, optional, default True
Add index (row) labels.
- storage_optionsdict, 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 pairsare forwarded to
urllib.request.Requestas header options. For otherURLs (e.g. starting with “s3://”, and “gcs://”) the key-value pairs areforwarded tofsspec.open. Please seefsspecandurllibfor moredetails, and for more examples on storage options referhere.- **kwargs
These parameters will be passed totabulate.
- Returns:
- str
Series in Markdown-friendly format.
Notes
Requires thetabulate 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 |+----+----------+