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: