# Release Notes

## MindSpore Pandas 0.2.0 Release Notes

### Major Features and Enhancements

- [STABLE] Provided a shared-memory-based data pipeline, enabling data to be transmitted from the MindSpore Pandas data processing process to the MindSpore training process without the need for disk storage, effectively resolving the issue of data analysis and AI training framework separation.
- [STABLE] Streamlined the usage of single-machine multi-process mode, eliminating the need for manual deployment of distributed computing engines.
- [STABLE] Added support for Python 3.9.
- [STABLE] Introduced disk storage functionality for instances where datamem usage exceeds a pre-determined threshold.
- [STABLE] Optimized the cold start time of the distributed computing engine.
- [STABLE] Enhanced memory usage optimization in multi-process mode.
- [STABLE] Refactored the statistical and comparison class APIs, resulting in improved performance.

### API Change

- [STABLE] Added API `mindpandas.DataFrame.memory_usage`.
- [STABLE] Added API `mindpandas.DataFrame.count`.
- [STABLE] Added API `mindpandas.DataFrame.product`.
- [STABLE] Added API `mindpandas.DataFrame.var`.
- [STABLE] Added API `mindpandas.DataFrame.prod`.
- [STABLE] Added API `mindpandas.Series.prod`.
- [STABLE] Added API `mindpandas.Series.isin`.
- [STABLE] Added API `mindpandas.Series.item`.
- [STABLE] Added API `mindpandas.Series.cummin`.
- [STABLE] Added API `mindpandas.Series.count`.
- [STABLE] Added API `mindpandas.Series.cummax`.

### Bug Fixes

- [BUGFIX] Fixed the issue where `read_csv` could not process URLs.
- [BUGFIX] Fixed the issue where the `drop` API produced incorrect calculation results in certain cases.
- [BUGFIX] Fixed the issue where an error occurs when the distributed computing engine process is started using `yrctl start` and you need to manually exit.
- [BUGFIX] Fixed the issue where the distributed computing engine could not be started after setting the proxy.

### Contributors

Thanks goes to these wonderful people:

caiyimeng, chenyue li, dessyang, liyuxia, lichen_101010, Martin Yang, panfengfeng, RobinGrosman, shenghong96, Tom Chen, wangyue, weisun092, xiaohanzhang, xutianyu, yanghaitao, youtianming

Contributions of any kind are welcome!