CI: Fixes to conda environment names
- [x] closes #23851 
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry

sorry, @datapythonista , i made a terrible mistake in Git, and collected all other people's commits ahead of me, so i created this one, and closed the previous PR so that other people won't get affected. sorry for this. That happens very often. Not sure what people does to get into that state, but what usually fixes it is described in the first point of this post: https://datapythonista.github.io/blog/useful-git-commands.html

If you do that, you can keep using the same PR. oh! awesome post!!! @datapythonista thank you very much!! just read it!!  i am looking into the CI now to debug what is going wrong there, and thanks for reviews!! @charlesdong1991 looks good in general, still some details that make the CI fail. Let me take a look and push couple of small fixes, and see if I can leave everything green myself. Thanks! @datapythonista i am so sorry that due to my limited knowledge of how CI works, i tried my best to understand what it is going on as a whole in pandas, and changed code accordingly... but it still fails... please finish the issue... sorry, i would like to help on this issue but it's bit of out of my scope... and appreciate a lot for helping me and explaining me what is going on... shall I close the PR so that you or other talented contributor can work on it? Thanks for helping with this @charlesdong1991, your changes were very useful. But as you said, and as I mentioned before, a good knowledge of the CI is needed to understand in detail when the activations need to happen in some cases.

Don't close the PR, all your changes are useful, and I pushed to the same PR the missing bits. With some luck now the CI is green, and we can merge the PR.

Thanks again for helping with this. I'm working on simplifying the CI, and once that is done I'll add information about the CI to the docs, so it's easier for contributors to understand what's going on. Thanks again @datapythonista , and appreciate your patience! I tried to step out my comfort zone and solved the topic that i am not very familiar with so as to learn more... but probably this is not a good place since it will also waste your precious time to review... i will be more cautious next time when picking up issues.. thanks again, and look forward to the DOC for CI... wish this time it can go green... enjoy your weekend ^^ # [Codecov](https://codecov.io/gh/pandas-dev/pandas/pull/23866?src=pr&el=h1) Report
> Merging [#23866](https://codecov.io/gh/pandas-dev/pandas/pull/23866?src=pr&el=desc) into [master](https://codecov.io/gh/pandas-dev/pandas/commit/e5c90e5e355077c4ee5245a4a72833f4e8af72b9?src=pr&el=desc) will **decrease** coverage by `<.01%`.
> The diff coverage is `n/a`.

[![Impacted file tree graph](https://codecov.io/gh/pandas-dev/pandas/pull/23866/graphs/tree.svg?width=650&token=eZ4WkYLtcO&height=150&src=pr)](https://codecov.io/gh/pandas-dev/pandas/pull/23866?src=pr&el=tree)

```diff
@@            Coverage Diff             @@
##           master   #23866      +/-   ##
==========================================
- Coverage   92.29%   92.29%   -0.01%     
==========================================
  Files         161      161              
  Lines       51497    51498       +1     
==========================================
  Hits        47530    47530              
- Misses       3967     3968       +1
```

| Flag | Coverage Δ | |
|---|---|---|
| #multiple | `90.69% <ø> (-0.01%)` | :arrow_down: |
| #single | `42.43% <ø> (ø)` | :arrow_up: |

| [Impacted Files](https://codecov.io/gh/pandas-dev/pandas/pull/23866?src=pr&el=tree) | Coverage Δ | |
|---|---|---|
| [pandas/io/pytables.py](https://codecov.io/gh/pandas-dev/pandas/pull/23866/diff?src=pr&el=tree#diff-cGFuZGFzL2lvL3B5dGFibGVzLnB5) | `92.3% <0%> (-0.05%)` | :arrow_down: |
| [pandas/core/reshape/pivot.py](https://codecov.io/gh/pandas-dev/pandas/pull/23866/diff?src=pr&el=tree#diff-cGFuZGFzL2NvcmUvcmVzaGFwZS9waXZvdC5weQ==) | `96.55% <0%> (ø)` | :arrow_up: |
| [pandas/io/json/normalize.py](https://codecov.io/gh/pandas-dev/pandas/pull/23866/diff?src=pr&el=tree#diff-cGFuZGFzL2lvL2pzb24vbm9ybWFsaXplLnB5) | `96.87% <0%> (ø)` | :arrow_up: |
| [pandas/io/packers.py](https://codecov.io/gh/pandas-dev/pandas/pull/23866/diff?src=pr&el=tree#diff-cGFuZGFzL2lvL3BhY2tlcnMucHk=) | `88.08% <0%> (ø)` | :arrow_up: |
| [pandas/core/util/hashing.py](https://codecov.io/gh/pandas-dev/pandas/pull/23866/diff?src=pr&el=tree#diff-cGFuZGFzL2NvcmUvdXRpbC9oYXNoaW5nLnB5) | `98.4% <0%> (ø)` | :arrow_up: |
| [pandas/core/algorithms.py](https://codecov.io/gh/pandas-dev/pandas/pull/23866/diff?src=pr&el=tree#diff-cGFuZGFzL2NvcmUvYWxnb3JpdGhtcy5weQ==) | `95.11% <0%> (ø)` | :arrow_up: |
| [pandas/util/\_decorators.py](https://codecov.io/gh/pandas-dev/pandas/pull/23866/diff?src=pr&el=tree#diff-cGFuZGFzL3V0aWwvX2RlY29yYXRvcnMucHk=) | `91.34% <0%> (ø)` | :arrow_up: |
| [pandas/tseries/offsets.py](https://codecov.io/gh/pandas-dev/pandas/pull/23866/diff?src=pr&el=tree#diff-cGFuZGFzL3RzZXJpZXMvb2Zmc2V0cy5weQ==) | `96.98% <0%> (ø)` | :arrow_up: |
| [pandas/core/indexes/datetimes.py](https://codecov.io/gh/pandas-dev/pandas/pull/23866/diff?src=pr&el=tree#diff-cGFuZGFzL2NvcmUvaW5kZXhlcy9kYXRldGltZXMucHk=) | `96.2% <0%> (ø)` | :arrow_up: |
| [pandas/core/indexes/multi.py](https://codecov.io/gh/pandas-dev/pandas/pull/23866/diff?src=pr&el=tree#diff-cGFuZGFzL2NvcmUvaW5kZXhlcy9tdWx0aS5weQ==) | `95.49% <0%> (ø)` | :arrow_up: |
| ... and [18 more](https://codecov.io/gh/pandas-dev/pandas/pull/23866/diff?src=pr&el=tree-more) | |

------

[Continue to review full report at Codecov](https://codecov.io/gh/pandas-dev/pandas/pull/23866?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/23866?src=pr&el=footer). Last update [e5c90e5...fbde055](https://codecov.io/gh/pandas-dev/pandas/pull/23866?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).
 thanks @charlesdong1991 