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https://github.com/databricks/koalas

Koalas: pandas API on Apache Spark
https://github.com/databricks/koalas

big-data data-science dataframe mlflow pandas pydata spark

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Koalas: pandas API on Apache Spark

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README 

        
## DEPRECATED: Koalas supports Apache Spark 3.1 and below as it is [officially included to PySpark in Apache Spark 3.2](https://issues.apache.org/jira/browse/SPARK-34849). This repository is now in maintenance mode. For Apache Spark 3.2 and above, please use [PySpark](https://spark.apache.org/docs/latest/api/python/migration_guide/koalas_to_pyspark.html) directly.





  






  pandas API on Apache Spark

  


  Explore Koalas docs »

  


  


  Live notebook

  ·

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  Mailing list

  


  Help Thirsty Koalas Devastated by Recent Fires




The Koalas project makes data scientists more productive when interacting with big data, by implementing the pandas DataFrame API on top of Apache Spark.



pandas is the de facto standard (single-node) DataFrame implementation in Python, while Spark is the de facto standard for big data processing. With this package, you can:

 - Be immediately productive with Spark, with no learning curve, if you are already familiar with pandas.

 - Have a single codebase that works both with pandas (tests, smaller datasets) and with Spark (distributed datasets).



We would love to have you try it and give us feedback, through our [mailing lists](https://groups.google.com/forum/#!forum/koalas-dev) or [GitHub issues](https://github.com/databricks/koalas/issues).



Try the Koalas 10 minutes tutorial on a live Jupyter notebook [here](https://mybinder.org/v2/gh/databricks/koalas/master?filepath=docs%2Fsource%2Fgetting_started%2F10min.ipynb). The initial launch can take up to several minutes.



[![Github Actions](https://github.com/databricks/koalas/workflows/master/badge.svg)](https://github.com/databricks/koalas/actions)

[![codecov](https://codecov.io/gh/databricks/koalas/branch/master/graph/badge.svg)](https://codecov.io/gh/databricks/koalas)

[![Documentation Status](https://readthedocs.org/projects/koalas/badge/?version=latest)](https://koalas.readthedocs.io/en/latest/?badge=latest)

[![Latest Release](https://img.shields.io/pypi/v/koalas.svg)](https://pypi.org/project/koalas/)

[![Conda Version](https://img.shields.io/conda/vn/conda-forge/koalas.svg)](https://anaconda.org/conda-forge/koalas)

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/databricks/koalas/master?filepath=docs%2Fsource%2Fgetting_started%2F10min.ipynb)

[![Downloads](https://pepy.tech/badge/koalas)](https://pepy.tech/project/koalas)



## Getting Started



Koalas can be installed in many ways such as Conda and pip.



```bash

# Conda

conda install koalas -c conda-forge

```



```bash

# pip

pip install koalas

```



See [Installation](https://koalas.readthedocs.io/en/latest/getting_started/install.html) for more details.



For Databricks Runtime, Koalas is pre-installed in Databricks Runtime 7.1 and above. Try [Databricks Community Edition](https://community.cloud.databricks.com/) for free. You can also follow these [steps](https://docs.databricks.com/libraries/index.html) to manually install a library on Databricks.



Lastly, if your PyArrow version is 0.15+ and your PySpark version is lower than 3.0, it is best for you to set `ARROW_PRE_0_15_IPC_FORMAT` environment variable to `1` manually.

Koalas will try its best to set it for you but it is impossible to set it if there is a Spark context already launched.



Now you can turn a pandas DataFrame into a Koalas DataFrame that is API-compliant with the former:



```python

import databricks.koalas as ks

import pandas as pd



pdf = pd.DataFrame({'x':range(3), 'y':['a','b','b'], 'z':['a','b','b']})



# Create a Koalas DataFrame from pandas DataFrame

df = ks.from_pandas(pdf)



# Rename the columns

df.columns = ['x', 'y', 'z1']



# Do some operations in place:

df['x2'] = df.x * df.x

```



For more details, see [Getting Started](https://koalas.readthedocs.io/en/latest/getting_started/index.html) and [Dependencies](https://koalas.readthedocs.io/en/latest/getting_started/install.html#dependencies) in the official documentation.



## Contributing Guide



See [Contributing Guide](https://koalas.readthedocs.io/en/latest/development/contributing.html) and [Design Principles](https://koalas.readthedocs.io/en/latest/development/design.html) in the official documentation.



## FAQ



See [FAQ](https://koalas.readthedocs.io/en/latest/user_guide/faq.html) in the official documentation.



## Best Practices



See [Best Practices](https://koalas.readthedocs.io/en/latest/user_guide/best_practices.html) in the official documentation.



## Koalas Talks and Blogs



See [Koalas Talks and Blogs](https://koalas.readthedocs.io/en/latest/getting_started/videos_blogs.html) in the official documentation.