DOC: Fix summaries not ending with a period
I have fixed all 'Summary does not end with a period' issue except these two:
![image](https://user-images.githubusercontent.com/25010571/49705373-ed2f8180-fbeb-11e8-9f7c-5cf8d2b3aa81.png)
I couldn't find the linenumbers in the corresponding file, and also couldn't fix it by looking for 'argmin' or 'argmax' in Panda directory. Please advise if there is anything else I could try.

- [x] closes #24164
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry

Hello @YuechengWu! Thanks for updating the PR.

 - There are no PEP8 issues in the file [`pandas/core/accessor.py`](https://github.com/YuechengWu/pandas/blob/88d6664afaa5911055fd6bd0aac136813c13119c/pandas/core/accessor.py) !

 - There are no PEP8 issues in the file [`pandas/core/arrays/categorical.py`](https://github.com/YuechengWu/pandas/blob/88d6664afaa5911055fd6bd0aac136813c13119c/pandas/core/arrays/categorical.py) !

 - There are no PEP8 issues in the file [`pandas/core/arrays/datetimes.py`](https://github.com/YuechengWu/pandas/blob/88d6664afaa5911055fd6bd0aac136813c13119c/pandas/core/arrays/datetimes.py) !

 - There are no PEP8 issues in the file [`pandas/core/base.py`](https://github.com/YuechengWu/pandas/blob/88d6664afaa5911055fd6bd0aac136813c13119c/pandas/core/base.py) !

 - There are no PEP8 issues in the file [`pandas/core/dtypes/dtypes.py`](https://github.com/YuechengWu/pandas/blob/88d6664afaa5911055fd6bd0aac136813c13119c/pandas/core/dtypes/dtypes.py) !

 - There are no PEP8 issues in the file [`pandas/core/generic.py`](https://github.com/YuechengWu/pandas/blob/88d6664afaa5911055fd6bd0aac136813c13119c/pandas/core/generic.py) !

 - There are no PEP8 issues in the file [`pandas/core/indexes/accessors.py`](https://github.com/YuechengWu/pandas/blob/88d6664afaa5911055fd6bd0aac136813c13119c/pandas/core/indexes/accessors.py) !

 - There are no PEP8 issues in the file [`pandas/plotting/_core.py`](https://github.com/YuechengWu/pandas/blob/88d6664afaa5911055fd6bd0aac136813c13119c/pandas/plotting/_core.py) !



##### Comment last updated on December 10, 2018 at 00:59 Hours UTC # [Codecov](https://codecov.io/gh/pandas-dev/pandas/pull/24190?src=pr&el=h1) Report
> Merging [#24190](https://codecov.io/gh/pandas-dev/pandas/pull/24190?src=pr&el=desc) into [master](https://codecov.io/gh/pandas-dev/pandas/commit/77278ba8158457f142e6bba19e6d53a66a3f1322?src=pr&el=desc) will **decrease** coverage by `<.01%`.
> The diff coverage is `100%`.

[![Impacted file tree graph](https://codecov.io/gh/pandas-dev/pandas/pull/24190/graphs/tree.svg?width=650&token=eZ4WkYLtcO&height=150&src=pr)](https://codecov.io/gh/pandas-dev/pandas/pull/24190?src=pr&el=tree)

```diff
@@            Coverage Diff             @@
##           master   #24190      +/-   ##
==========================================
- Coverage   92.21%   92.21%   -0.01%     
==========================================
  Files         162      162              
  Lines       51723    51723              
==========================================
- Hits        47695    47694       -1     
- Misses       4028     4029       +1
```

| Flag | Coverage Δ | |
|---|---|---|
| #multiple | `90.61% <100%> (ø)` | :arrow_up: |
| #single | `43.03% <83.33%> (-0.01%)` | :arrow_down: |

| [Impacted Files](https://codecov.io/gh/pandas-dev/pandas/pull/24190?src=pr&el=tree) | Coverage Δ | |
|---|---|---|
| [pandas/core/indexes/accessors.py](https://codecov.io/gh/pandas-dev/pandas/pull/24190/diff?src=pr&el=tree#diff-cGFuZGFzL2NvcmUvaW5kZXhlcy9hY2Nlc3NvcnMucHk=) | `91.08% <ø> (ø)` | :arrow_up: |
| [pandas/core/accessor.py](https://codecov.io/gh/pandas-dev/pandas/pull/24190/diff?src=pr&el=tree#diff-cGFuZGFzL2NvcmUvYWNjZXNzb3IucHk=) | `98.79% <ø> (ø)` | :arrow_up: |
| [pandas/core/dtypes/dtypes.py](https://codecov.io/gh/pandas-dev/pandas/pull/24190/diff?src=pr&el=tree#diff-cGFuZGFzL2NvcmUvZHR5cGVzL2R0eXBlcy5weQ==) | `95.33% <ø> (ø)` | :arrow_up: |
| [pandas/core/base.py](https://codecov.io/gh/pandas-dev/pandas/pull/24190/diff?src=pr&el=tree#diff-cGFuZGFzL2NvcmUvYmFzZS5weQ==) | `97.64% <ø> (ø)` | :arrow_up: |
| [pandas/core/arrays/categorical.py](https://codecov.io/gh/pandas-dev/pandas/pull/24190/diff?src=pr&el=tree#diff-cGFuZGFzL2NvcmUvYXJyYXlzL2NhdGVnb3JpY2FsLnB5) | `95.4% <ø> (ø)` | :arrow_up: |
| [pandas/core/generic.py](https://codecov.io/gh/pandas-dev/pandas/pull/24190/diff?src=pr&el=tree#diff-cGFuZGFzL2NvcmUvZ2VuZXJpYy5weQ==) | `96.65% <ø> (ø)` | :arrow_up: |
| [pandas/plotting/\_core.py](https://codecov.io/gh/pandas-dev/pandas/pull/24190/diff?src=pr&el=tree#diff-cGFuZGFzL3Bsb3R0aW5nL19jb3JlLnB5) | `83.58% <ø> (ø)` | :arrow_up: |
| [pandas/core/arrays/datetimes.py](https://codecov.io/gh/pandas-dev/pandas/pull/24190/diff?src=pr&el=tree#diff-cGFuZGFzL2NvcmUvYXJyYXlzL2RhdGV0aW1lcy5weQ==) | `98.56% <100%> (ø)` | :arrow_up: |
| [pandas/io/json/json.py](https://codecov.io/gh/pandas-dev/pandas/pull/24190/diff?src=pr&el=tree#diff-cGFuZGFzL2lvL2pzb24vanNvbi5weQ==) | `92.61% <0%> (-0.48%)` | :arrow_down: |
| [pandas/util/testing.py](https://codecov.io/gh/pandas-dev/pandas/pull/24190/diff?src=pr&el=tree#diff-cGFuZGFzL3V0aWwvdGVzdGluZy5weQ==) | `87.51% <0%> (+0.09%)` | :arrow_up: |

------

[Continue to review full report at Codecov](https://codecov.io/gh/pandas-dev/pandas/pull/24190?src=pr&el=continue).
> **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/24190?src=pr&el=footer). Last update [77278ba...88d6664](https://codecov.io/gh/pandas-dev/pandas/pull/24190?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).
 # [Codecov](https://codecov.io/gh/pandas-dev/pandas/pull/24190?src=pr&el=h1) Report
> Merging [#24190](https://codecov.io/gh/pandas-dev/pandas/pull/24190?src=pr&el=desc) into [master](https://codecov.io/gh/pandas-dev/pandas/commit/f6c7f6be80c83ad9f4680fc7bcd5bf9e5b426d92?src=pr&el=desc) will **not change** coverage.
> The diff coverage is `100%`.

[![Impacted file tree graph](https://codecov.io/gh/pandas-dev/pandas/pull/24190/graphs/tree.svg?width=650&token=eZ4WkYLtcO&height=150&src=pr)](https://codecov.io/gh/pandas-dev/pandas/pull/24190?src=pr&el=tree)

```diff
@@           Coverage Diff           @@
##           master   #24190   +/-   ##
=======================================
  Coverage   92.21%   92.21%           
=======================================
  Files         162      162           
  Lines       51763    51763           
=======================================
  Hits        47733    47733           
  Misses       4030     4030
```

| Flag | Coverage Δ | |
|---|---|---|
| #multiple | `90.61% <100%> (ø)` | :arrow_up: |
| #single | `43% <100%> (ø)` | :arrow_up: |

| [Impacted Files](https://codecov.io/gh/pandas-dev/pandas/pull/24190?src=pr&el=tree) | Coverage Δ | |
|---|---|---|
| [pandas/core/indexes/accessors.py](https://codecov.io/gh/pandas-dev/pandas/pull/24190/diff?src=pr&el=tree#diff-cGFuZGFzL2NvcmUvaW5kZXhlcy9hY2Nlc3NvcnMucHk=) | `91.08% <ø> (ø)` | :arrow_up: |
| [pandas/core/accessor.py](https://codecov.io/gh/pandas-dev/pandas/pull/24190/diff?src=pr&el=tree#diff-cGFuZGFzL2NvcmUvYWNjZXNzb3IucHk=) | `98.79% <ø> (ø)` | :arrow_up: |
| [pandas/core/dtypes/dtypes.py](https://codecov.io/gh/pandas-dev/pandas/pull/24190/diff?src=pr&el=tree#diff-cGFuZGFzL2NvcmUvZHR5cGVzL2R0eXBlcy5weQ==) | `95.33% <ø> (ø)` | :arrow_up: |
| [pandas/core/base.py](https://codecov.io/gh/pandas-dev/pandas/pull/24190/diff?src=pr&el=tree#diff-cGFuZGFzL2NvcmUvYmFzZS5weQ==) | `97.64% <ø> (ø)` | :arrow_up: |
| [pandas/core/arrays/categorical.py](https://codecov.io/gh/pandas-dev/pandas/pull/24190/diff?src=pr&el=tree#diff-cGFuZGFzL2NvcmUvYXJyYXlzL2NhdGVnb3JpY2FsLnB5) | `95.3% <ø> (ø)` | :arrow_up: |
| [pandas/core/generic.py](https://codecov.io/gh/pandas-dev/pandas/pull/24190/diff?src=pr&el=tree#diff-cGFuZGFzL2NvcmUvZ2VuZXJpYy5weQ==) | `96.65% <ø> (ø)` | :arrow_up: |
| [pandas/plotting/\_core.py](https://codecov.io/gh/pandas-dev/pandas/pull/24190/diff?src=pr&el=tree#diff-cGFuZGFzL3Bsb3R0aW5nL19jb3JlLnB5) | `83.58% <ø> (ø)` | :arrow_up: |
| [pandas/core/arrays/datetimes.py](https://codecov.io/gh/pandas-dev/pandas/pull/24190/diff?src=pr&el=tree#diff-cGFuZGFzL2NvcmUvYXJyYXlzL2RhdGV0aW1lcy5weQ==) | `98.56% <100%> (ø)` | :arrow_up: |

------

[Continue to review full report at Codecov](https://codecov.io/gh/pandas-dev/pandas/pull/24190?src=pr&el=continue).
> **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/24190?src=pr&el=footer). Last update [f6c7f6b...dad7f70](https://codecov.io/gh/pandas-dev/pandas/pull/24190?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).
 @datapythonista I committed those two changes. I think we are ready to go. 👍  @datapythonista my pleasure as always @YuechengWu, when you accept changes in the github interface, github creates commits for them. So, now, the history in your local copy and the history in the remote branch diverged (both have a common ancestor, but splitted and they are different now). When you push, git can't simply add your latest commits to the history on the repo.

To fix it, is as simple as `git pull` from your branch. This will fetch the commits that github added locally, and merge them to your history. Then a push will work. @datapythonista yest, it's working now. Thank you so much. I also reverted "{}" to be "\n{}\n". Let me know if any further changes are required. Not sure what you did, but you've got many unrelated changes in this PR. Take a look at the first section here, that should help fix it: https://datapythonista.github.io/blog/useful-git-commands.html @datapythonista I tried to clean up the history, it's now in the commit "all my changes in a single commit", let me know if there is anything else. Thanks. Check this and the list of commits in the PR: https://github.com/pandas-dev/pandas/pull/24190/files @datapythonista I am not sure how those changes regarding #24053 got into my PR. I have no idea either, but happens often to many people. If you follow the instructions in the post I sent you, you should be able to fix the PR @datapythonista yes, I think I have fixed it now, phew! Thanks for your help, let me know if there is anything else please. Thanks @YuechengWu ! @datapythonista @WillAyd My pleasure, glad I could help!