DOC: DatetimeIndex day says the same as month
See original GitHub issueLocation of the documentation
https://pandas.pydata.org/docs/reference/api/pandas.DatetimeIndex.day.html#pandas.DatetimeIndex.day
Documentation problem
Right now it says the same as month, The month as of January=1, December=12
Suggested fix for documentation
Something along the lines of Day of the month, from 1 through 31
Issue Analytics
- State:
- Created 3 years ago
- Comments:9 (6 by maintainers)
Top Results From Across the Web
pandas.DatetimeIndex.dayofweek
Return the day of the week. It is assumed the week starts on Monday, which is denoted by 0 and ends on Sunday...
Read more >Pandas datetime index all set to the same date in a month ...
I know this is an old question, but in case you want to create a monthly start index from scratch, you can make...
Read more >Tips on Working with Datetime Index in pandas
All produce the same output. So we are free to use whatever is more comfortable for us. Also we can select data for...
Read more >Working with datetime in Pandas DataFrame | by B. Chen
In most of the rest of the world, the day is written first (DD/MM, DD MM, or DD-MM). If you would like Pandas...
Read more >Datetimes and Timedeltas — NumPy v1.24 Manual
The data type is called datetime64 , so named because datetime is already ... The date units are years ('Y'), months ('M'), weeks...
Read more >Top Related Medium Post
No results found
Top Related StackOverflow Question
No results found
Troubleshoot Live Code
Lightrun enables developers to add logs, metrics and snapshots to live code - no restarts or redeploys required.
Start FreeTop Related Reddit Thread
No results found
Top Related Hackernoon Post
No results found
Top Related Tweet
No results found
Top Related Dev.to Post
No results found
Top Related Hashnode Post
No results found
Top GitHub Comments
Hi there! I’m out of time, please, go ahead and take it.
Hey @raphacosta27 - sure, PRs are welcome! Just for reference, if you comment ‘take’, the issue will be assigned to you
Minor note, but in general we encourage inclusive behavior - for example, please don’t say “hey guys!” but “hey everyone!” (see https://github.com/pandas-dev/pandas/blob/master/web/pandas/community/coc.md)