CLN: ASV period
- Utilized `param` for the  `PeriodProperties` benchmark

- Replaced `setup_cache` for just `setup` since only one benchmark was being run for that class. 
```
$ asv dev -b ^period
· Discovering benchmarks
· Running 15 total benchmarks (1 commits * 1 environments * 15 benchmarks)
[  0.00%] ·· Building for existing-py_home_matt_anaconda_envs_pandas_dev_bin_python
[  0.00%] ·· Benchmarking existing-py_home_matt_anaconda_envs_pandas_dev_bin_python
[  6.67%] ··· Running period.Algorithms.time_drop_duplicates                 ok
[  6.67%] ···· 
               ======== ========
                 typ            
               -------- --------
                index    777μs  
                series   7.47ms 
               ======== ========

[ 13.33%] ··· Running period.Algorithms.time_value_counts                    ok
[ 13.33%] ···· 
               ======== ========
                 typ            
               -------- --------
                index    1.33ms 
                series   7.94ms 
               ======== ========

[ 20.00%] ··· Running ...ramePeriodColumn.time_setitem_period_column     80.8ms
[ 26.67%] ··· Running period.Indexing.time_align                         2.57ms
[ 33.33%] ··· Running period.Indexing.time_get_loc                        211μs
[ 40.00%] ··· Running period.Indexing.time_intersection                   516μs
[ 46.67%] ··· Running period.Indexing.time_series_loc                     417μs
[ 53.33%] ··· Running period.Indexing.time_shallow_copy                  53.4μs
[ 60.00%] ··· Running period.Indexing.time_shape                         13.5μs
[ 66.67%] ··· Running ...PeriodIndexConstructor.time_from_date_range         ok
[ 66.67%] ···· 
               ====== =======
                freq         
               ------ -------
                 D     408μs 
               ====== =======

[ 73.33%] ··· Running ...PeriodIndexConstructor.time_from_pydatetime         ok
[ 73.33%] ···· 
               ====== ========
                freq          
               ------ --------
                 D     15.3ms 
               ====== ========

[ 80.00%] ··· Running period.PeriodProperties.time_property                  ok
[ 80.00%] ···· 
               ====== ============== ========
                freq       attr              
               ------ -------------- --------
                 M         year       17.5μs 
                 M        month       17.2μs 
                 M         day        17.4μs 
                 M         hour       17.4μs 
                 M        minute      17.6μs 
                 M        second      16.8μs 
                 M     is_leap_year   17.6μs 
                 M       quarter      17.1μs 
                 M        qyear       17.1μs 
                 M         week       17.8μs 
                 M     daysinmonth    17.7μs 
                 M      dayofweek     16.9μs 
                 M      dayofyear     17.4μs 
                 M      start_time    243μs  
                 M       end_time     263μs  
                min        year       17.4μs 
                min       month       18.5μs 
                min        day        18.1μs 
                min        hour       18.1μs 
                min       minute      18.2μs 
                min       second      18.1μs 
                min    is_leap_year   19.4μs 
                min      quarter      16.7μs 
                min       qyear       17.7μs 
                min        week       18.2μs 
                min    daysinmonth    18.4μs 
                min     dayofweek     18.2μs 
                min     dayofyear     18.2μs 
                min     start_time    242μs  
                min      end_time     260μs  
               ====== ============== ========

[ 86.67%] ··· Running period.PeriodUnaryMethods.time_asfreq                  ok
[ 86.67%] ···· 
               ====== =======
                freq         
               ------ -------
                 M     161μs 
                min    166μs 
               ====== =======

[ 93.33%] ··· Running period.PeriodUnaryMethods.time_now                     ok
[ 93.33%] ···· 
               ====== =======
                freq         
               ------ -------
                 M     128μs 
                min    224μs 
               ====== =======

[100.00%] ··· Running period.PeriodUnaryMethods.time_to_timestamp            ok
[100.00%] ···· 
               ====== =======
                freq         
               ------ -------
                 M     245μs 
                min    242μs 
               ====== =======
```

# [Codecov](https://codecov.io/gh/pandas-dev/pandas/pull/18932?src=pr&el=h1) Report
> Merging [#18932](https://codecov.io/gh/pandas-dev/pandas/pull/18932?src=pr&el=desc) into [master](https://codecov.io/gh/pandas-dev/pandas/commit/cdebcf374598e9141df7dc23bc75c9528e92c004?src=pr&el=desc) will **decrease** coverage by `0.02%`.
> The diff coverage is `n/a`.

[![Impacted file tree graph](https://codecov.io/gh/pandas-dev/pandas/pull/18932/graphs/tree.svg?src=pr&token=eZ4WkYLtcO&width=650&height=150)](https://codecov.io/gh/pandas-dev/pandas/pull/18932?src=pr&el=tree)

```diff
@@            Coverage Diff             @@
##           master   #18932      +/-   ##
==========================================
- Coverage   91.59%   91.57%   -0.03%     
==========================================
  Files         150      150              
  Lines       48959    48959              
==========================================
- Hits        44843    44833      -10     
- Misses       4116     4126      +10
```

| Flag | Coverage Δ | |
|---|---|---|
| #multiple | `89.93% <ø> (-0.03%)` | :arrow_down: |
| #single | `41.13% <ø> (ø)` | :arrow_up: |

| [Impacted Files](https://codecov.io/gh/pandas-dev/pandas/pull/18932?src=pr&el=tree) | Coverage Δ | |
|---|---|---|
| [pandas/plotting/\_converter.py](https://codecov.io/gh/pandas-dev/pandas/pull/18932/diff?src=pr&el=tree#diff-cGFuZGFzL3Bsb3R0aW5nL19jb252ZXJ0ZXIucHk=) | `65.22% <0%> (-1.74%)` | :arrow_down: |
| [pandas/util/testing.py](https://codecov.io/gh/pandas-dev/pandas/pull/18932/diff?src=pr&el=tree#diff-cGFuZGFzL3V0aWwvdGVzdGluZy5weQ==) | `84.9% <0%> (+0.21%)` | :arrow_up: |

------

[Continue to review full report at Codecov](https://codecov.io/gh/pandas-dev/pandas/pull/18932?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/18932?src=pr&el=footer). Last update [cdebcf3...adaeebd](https://codecov.io/gh/pandas-dev/pandas/pull/18932?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).
 thanks @mroeschke 

how much more to finish linting before can add a rule to auto-lint? 