Version 0.10.0

We added infrastructure for usage logging (#494). It allows to use a custom logger to handle each API process failure and success. In Koalas, it has a built-in Koalas logger, databricks.koalas.usage_logging.usage_logger, with Python logging.

In addition, Koalas experimentally introduced type hints for both Series and DataFrame (#453). The new type hints are used as below:

def func(...) -> ks.Series[np.float]:
    ...
def func(...) -> ks.DataFrame[np.float, int, str]:
    ...

We also added the following features:

koalas.DataFrame:

• update (#498)

• pivot_table (#386)

• pow (#503)

• rpow (#503)

• mod (#503)

• rmod (#503)

• floordiv (#503)

• rfloordiv (#503)

• T (#469)

• transpose (#469)

• select_dtypes (#510)

• replace (#495)

• cummin (#521)

• cummax (#521)

• cumsum (#521)

koalas.Series:

• rank (#516)

Along with the following improvements:

• Remaining Koalas Series.str functions (#496)

• nunique in koalas.groupby.GroupBy.agg (#512)

Version 0.11.0 Version 0.9.0