iat
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
We added the following new features:
koalas.Index
equals (#1216)
equals
identical (#1215)
identical
is_all_dates (#1205)
is_all_dates
append (#1163)
append
to_frame (#1187)
to_frame
koalas.MultiIndex:
swaplevel (#1105)
swaplevel
is_monotonic_increasing (#1183)
is_monotonic_increasing
is_monotonic_decreasing (#1183)
is_monotonic_decreasing
koalas.DataFrameGroupBy
describe (#1168)
describe
Change default write mode to overwrite to be consistent with pandas (#1209)
Prepare Spark 3 (#1211, #1181)
Fix DataFrame.idxmin/idxmax. (#1198)
DataFrame.idxmin/idxmax
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)