Implement DataFrame.take

[itholic]

This PR proposes Implement of DataFrame.take

>>> df = ks.DataFrame([('falcon', 'bird', 389.0),
...                    ('parrot', 'bird', 24.0),
...                    ('lion', 'mammal', 80.5),
...                    ('monkey', 'mammal', np.nan)],
...                   columns=['name', 'class', 'max_speed'],
...                   index=[0, 2, 3, 1])
>>> df
     name   class  max_speed
0  falcon    bird      389.0
2  parrot    bird       24.0
3    lion  mammal       80.5
1  monkey  mammal        NaN

>>> df.take([0, 3])
     name   class  max_speed
0  falcon    bird      389.0
1  monkey  mammal        NaN

>>> df.take([1, 2], axis=1)
    class  max_speed
0    bird      389.0
2    bird       24.0
3  mammal       80.5
1  mammal        NaN

>>> df.take([-1, -2])
     name   class  max_speed
1  monkey  mammal        NaN
3    lion  mammal       80.5

[codecov-io]

Codecov Report

Merging #1292 into master will decrease coverage by 2.20%.
The diff coverage is 100.00%.

@@            Coverage Diff             @@
##           master    #1292      +/-   ##
==========================================
- Coverage   95.23%   93.02%   -2.21%     
==========================================
  Files          34       34              
  Lines        7576     7617      +41     
==========================================
- Hits         7215     7086     -129     
- Misses        361      531     +170     

Impacted Files	Coverage Δ
databricks/koalas/missing/frame.py	100.00% <ø> (ø)
databricks/koalas/frame.py	93.67% <100.00%> (-3.05%)	⬇️
databricks/koalas/usage_logging/__init__.py	24.32% <0.00%> (-71.18%)	⬇️
databricks/koalas/usage_logging/usage_logger.py	50.00% <0.00%> (-50.00%)	⬇️
databricks/koalas/__init__.py	78.72% <0.00%> (-14.90%)	⬇️
databricks/conftest.py	88.67% <0.00%> (-7.55%)	⬇️
databricks/koalas/namespace.py	86.26% <0.00%> (-1.50%)	⬇️
databricks/koalas/plot.py	93.33% <0.00%> (-0.96%)	⬇️
databricks/koalas/generic.py	97.13% <0.00%> (-0.41%)	⬇️
... and 2 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 da3740d...acc369a. Read the comment docs.

[itholic]

We have to find another solution since map_in_pandas won't work for this method.

While i'm here, i'm searching and fixing the existing implementations.

[ueshin]

Seems like we can just delegate to iloc indexer?

[itholic]

@ueshin Ah, I should have took a look at more carefully. Thanks for the comment :)

[ueshin]

Otherwise, LGTM.

[ueshin]

Could you update the PR description?

[itholic]

@ueshin Yup, I just removed unmatched descriptions

[ueshin]

Thanks! merging.