Version 0.26.0

iat indexer

We continued to improve indexers. Now, iat indexer is supported too (#1062).

>>> df = ks.DataFrame([[0, 2, 3], [0, 4, 1], [10, 20, 30]],
...                   columns=['A', 'B', 'C'])
>>> df
    A   B   C
0   0   2   3
1   0   4   1
2  10  20  30

>>> df.iat[1, 2]
1

Other new features and improvements

We added the following new features:

koalas.Index

• equals (#1216)

• identical (#1215)

• is_all_dates (#1205)

• append (#1163)

• to_frame (#1187)

koalas.MultiIndex:

• equals (#1216)

• identical (#1215)

• swaplevel (#1105)

• is_all_dates (#1205)

• is_monotonic_increasing (#1183)

• is_monotonic_decreasing (#1183)

• append (#1163)

• to_frame (#1187)

koalas.DataFrameGroupBy

• describe (#1168)

Other improvements

• Change default write mode to overwrite to be consistent with pandas (#1209)

• Prepare Spark 3 (#1211, #1181)

• Fix DataFrame.idxmin/idxmax. (#1198)

• Fix reset_index with the default index is “distributed-sequence”. (#1193)

• Fix column name as a tuple in multi column index (#1191)

• Add favicon to doc (#1189)

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