Alternative implementation for .where on EA-backed Indexes

[charlesdong1991]

• closes Alternative implementation for .where on EA-backed Indexes #24144
• tests added / passed
• passes git diff upstream/master -u -- "*.py" | flake8 --diff
• whatsnew entry

[pep8speaks]

Hello @charlesdong1991! Thanks for updating the PR.

• There are no PEP8 issues in the file pandas/core/indexes/category.py !

Comment last updated on December 10, 2018 at 21:31 Hours UTC

[codecov]

Codecov Report

Merging #24213 into master will decrease coverage by 49.2%.
The diff coverage is 0%.

@@             Coverage Diff             @@
##           master   #24213       +/-   ##
===========================================
- Coverage   92.21%      43%   -49.21%     
===========================================
  Files         162      162               
  Lines       51763    51762        -1     
===========================================
- Hits        47733    22261    -25472     
- Misses       4030    29501    +25471

Flag	Coverage Δ
#multiple	?
#single	43% <0%> (ø)	⬆️

Impacted Files	Coverage Δ
pandas/core/indexes/category.py	51.05% <0%> (-46.85%)	⬇️
pandas/io/formats/latex.py	0% <0%> (-100%)	⬇️
pandas/core/categorical.py	0% <0%> (-100%)	⬇️
pandas/io/sas/sas_constants.py	0% <0%> (-100%)	⬇️
pandas/tseries/plotting.py	0% <0%> (-100%)	⬇️
pandas/tseries/converter.py	0% <0%> (-100%)	⬇️
pandas/io/formats/html.py	0% <0%> (-98.62%)	⬇️
pandas/core/groupby/categorical.py	0% <0%> (-95.46%)	⬇️
pandas/io/sas/sas7bdat.py	0% <0%> (-91.17%)	⬇️
pandas/io/sas/sas_xport.py	0% <0%> (-90.15%)	⬇️
... and 120 more

---

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update 91802fb...e92568b. Read the comment docs.

[codecov]

Codecov Report

Merging #24213 into master will decrease coverage by 49.2%.
The diff coverage is 0%.

@@             Coverage Diff             @@
##           master   #24213       +/-   ##
===========================================
- Coverage   92.21%      43%   -49.21%     
===========================================
  Files         162      162               
  Lines       51763    51764        +1     
===========================================
- Hits        47733    22261    -25472     
- Misses       4030    29503    +25473

Flag	Coverage Δ
#multiple	?
#single	43% <0%> (-0.01%)	⬇️

Impacted Files	Coverage Δ
pandas/core/indexes/category.py	50.78% <0%> (-47.12%)	⬇️
pandas/io/formats/latex.py	0% <0%> (-100%)	⬇️
pandas/core/categorical.py	0% <0%> (-100%)	⬇️
pandas/io/sas/sas_constants.py	0% <0%> (-100%)	⬇️
pandas/tseries/plotting.py	0% <0%> (-100%)	⬇️
pandas/tseries/converter.py	0% <0%> (-100%)	⬇️
pandas/io/formats/html.py	0% <0%> (-98.62%)	⬇️
pandas/core/groupby/categorical.py	0% <0%> (-95.46%)	⬇️
pandas/io/sas/sas7bdat.py	0% <0%> (-91.17%)	⬇️
pandas/io/sas/sas_xport.py	0% <0%> (-90.15%)	⬇️
... and 120 more

---

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update f6c7f6b...d7588f5. Read the comment docs.

[charlesdong1991]

sorry... it's not ready for review... just wanna test the error a bit on pandas-dev