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Implement
DataFrame.last
and Series.last
functionality (#2121)
Please see change to implement `DataFrame.last` and `Series.last` functionality similar to that available in pandas. Requirement raised in issue: databricks/koalas#1929 ```python >>> index = pd.date_range('2018-04-09', periods=4, freq='2D') >>> ks_series = ks.Series([1, 2, 3, 4], index=index) 2018-04-09 1 2018-04-11 2 2018-04-13 3 2018-04-15 4 dtype: int64 >>> ks_series.last('3D') 2018-04-13 3 2018-04-15 4 dtype: int64 ``` ```python >>> index = pd.date_range('2018-04-09', periods=4, freq='2D') >>> pdf = pd.DataFrame({'A': [1, 2, 3, 4]}, index=i) >>> kdf = fs.from_pandas(pdf) A 2018-04-09 1 2018-04-11 2 2018-04-13 3 2018-04-15 4 >>> kdf.last('3D') A 2018-04-13 3 2018-04-15 4 ```
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