DOC: Update the Period.day docstring
State: closed

# Period.day Docstring
################################################################################
######################## Docstring (pandas.Period.day)  ########################
################################################################################

Return the number of days of particular month of a given Period.

This attribute returns the total number of days of given month on which
the particular date occurs.

Returns
-------
Int
Number of days till particular date

See also
--------
Period.dayofweek
    Return the day of the week

Period.dayofyear
    Return the day of the year

Examples
--------
>>> import pandas as pd
>>> p = pd.Period("2018-03-11", freq='H')
>>> p.day
11

################################################################################
################################## Validation ##################################
################################################################################

Docstring for "pandas.Period.day" correct. :)


Labels:
name: Docs

Comments:
# [Codecov](https://codecov.io/gh/pandas-dev/pandas/pull/20294?src=pr&el=h1) Report
> Merging [#20294](https://codecov.io/gh/pandas-dev/pandas/pull/20294?src=pr&el=desc) into [master](https://codecov.io/gh/pandas-dev/pandas/commit/df2e361b899d445fe71d4a9188c546f593251cea?src=pr&el=desc) will **increase** coverage by `0.02%`.
> The diff coverage is `n/a`.

[![Impacted file tree graph](https://codecov.io/gh/pandas-dev/pandas/pull/20294/graphs/tree.svg?src=pr&token=eZ4WkYLtcO&width=650&height=150)](https://codecov.io/gh/pandas-dev/pandas/pull/20294?src=pr&el=tree)

```diff
@@            Coverage Diff             @@
##           master   #20294      +/-   ##
==========================================
+ Coverage    91.7%   91.73%   +0.02%     
==========================================
  Files         150      150              
  Lines       49168    49168              
==========================================
+ Hits        45090    45102      +12     
+ Misses       4078     4066      -12
```

| Flag | Coverage Δ | |
|---|---|---|
| #multiple | `90.11% <ø> (+0.02%)` | :arrow_up: |
| #single | `41.86% <ø> (ø)` | :arrow_up: |

| [Impacted Files](https://codecov.io/gh/pandas-dev/pandas/pull/20294?src=pr&el=tree) | Coverage Δ | |
|---|---|---|
| [pandas/plotting/\_converter.py](https://codecov.io/gh/pandas-dev/pandas/pull/20294/diff?src=pr&el=tree#diff-cGFuZGFzL3Bsb3R0aW5nL19jb252ZXJ0ZXIucHk=) | `66.81% <0%> (+1.73%)` | :arrow_up: |

------

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> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)
> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`
> Powered by [Codecov](https://codecov.io/gh/pandas-dev/pandas/pull/20294?src=pr&el=footer). Last update [df2e361...85633a9](https://codecov.io/gh/pandas-dev/pandas/pull/20294?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).

@HimanshuAwasthi95 Thanks for the PR, and @WillAyd thanks for the review!
Thanks @jorisvandenbossche and @WillAyd