Version 0.24.0

NumPy's universal function (ufunc) compatibility

We added the compatibility of NumPy ufunc (#1127). Virtually all ufunc compatibilities in Koalas DataFrame were implemented. See the example below:

>>> import databricks.koalas as ks
>>> import numpy as np
>>> kdf = ks.range(10)
>>> np.log(kdf)
         id
0       NaN
1  0.000000
2  0.693147
3  1.098612
4  1.386294
5  1.609438
6  1.791759
7  1.945910
8  2.079442
9  2.197225

Other new features and improvements

We added the following new features:

koalas:

• to_numeric (#1060)

koalas.DataFrame:

• idxmax (#1054)
• idxmin (#1054)
• pct_change (#1051)
• info (#1124)

koalas.Index

• fillna (#1102)
• min (#1114)
• max (#1114)
• drop_duplicates (#1121)
• nunique (#1132)
• sort_values (#1120)

koalas.MultiIndex:

• levshape (#1086)
• min (#1114)
• max (#1114)
• sort_values (#1120)

koalas.SeriesGroupBy

• head (#1050)

koalas.DataFrameGroupBy

• head (#1050)

Other improvements

• Setting index name / names for Series (#1079)
• disable 'str' for 'SeriesGroupBy', disable 'DataFrame' for 'GroupBy' (#1097)
• Support 'compute.ops_on_diff_frames' for NumPy ufunc compay in Series (#1128)
• Support arithmetic and comparison APIs on same DataFrames (#1129)
• Fix rename() for Index to support MultiIndex also (#1125)
• Set the upper-bound for pandas. (#1137)
• Fix _cum() for Series to work properly (#1113)
• Fix value_counts() to work properly when dropna is True (#1116, #1142)