Support tuple to (DataFrame|Series).replace()

[itholic]

pandas support tuple to (DataFrame|Series).replace() for parameter to_replace and value whereas Koalas doesn't.

We should follow pandas'

>>> df_ks = ks.DataFrame([
...   [1,2,3],
...   [4,5,6],
...   [np.inf, 0, -np.inf]
... ])
>>> df_ks.replace((1, 2), np.nan)
     0    1    2
0  NaN  NaN  3.0
1  4.0  5.0  6.0
2  inf  0.0 -inf

[codecov-io]

Codecov Report

Merging #2095 (ef119ac) into master (1cd113c) will decrease coverage by 5.53%.
The diff coverage is 100.00%.

@@            Coverage Diff             @@
##           master    #2095      +/-   ##
==========================================
- Coverage   95.28%   89.74%   -5.54%     
==========================================
  Files          57       57              
  Lines       13244    13130     -114     
==========================================
- Hits        12619    11784     -835     
- Misses        625     1346     +721     

Impacted Files	Coverage Δ
databricks/koalas/frame.py	93.41% <100.00%> (-3.20%)	⬇️
databricks/koalas/series.py	95.65% <100.00%> (-1.14%)	⬇️
databricks/koalas/plot/plotly.py	15.78% <0.00%> (-81.06%)	⬇️
...bricks/koalas/tests/plot/test_frame_plot_plotly.py	23.33% <0.00%> (-76.67%)	⬇️
...ricks/koalas/tests/plot/test_series_plot_plotly.py	26.92% <0.00%> (-71.26%)	⬇️
databricks/koalas/usage_logging/__init__.py	27.58% <0.00%> (-64.92%)	⬇️
databricks/koalas/usage_logging/usage_logger.py	47.82% <0.00%> (-52.18%)	⬇️
databricks/koalas/typedef/typehints.py	65.92% <0.00%> (-28.50%)	⬇️
databricks/koalas/__init__.py	77.33% <0.00%> (-14.67%)	⬇️
databricks/conftest.py	87.27% <0.00%> (-12.73%)	⬇️
... and 27 more

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[ueshin]

LGTM.

[ueshin]

Thanks! merging.