History

Leona Yoda aeb3da2798 [SPARK-36541][DOCS][PYTHON] Replace the word Koalas to pandas-on-Spark ### What changes were proposed in this pull request? Replace images in pyspark on pandas document because those images uses the word Koalas ### Why are the changes needed? Images in Transform and apply a function documentation still uses the word Koalas, althogh the word was replaced to panas-on-Spark by this PR . https://github.com/apache/spark/pull/32835 I think we have to match the word on that images ### Does this PR introduce _any_ user-facing change? No ### How was this patch tested? `make html` Screen shots ![130179112-8485fdde-b422-4834-8b23-fe69e7402118](https://user-images.githubusercontent.com/14937752/130186051-d6ff65f0-c121-40bd-b4f1-2fbc10e76f3e.png) ![130179239-8dae7812-4d81-4f8c-8558-b75e4eae3787](https://user-images.githubusercontent.com/14937752/130186063-17d4a95f-0b9d-49d3-85c7-13ea07e4b6bb.png) ![130179273-10f9fbc3-0a62-4e1a-ab6e-7049d75653a1](https://user-images.githubusercontent.com/14937752/130186074-7d684669-b9ef-4a4e-8a2d-c63bb9800ddb.png) ![130179311-616545af-dde2-4dec-807f-dde0a0d4bfbe](https://user-images.githubusercontent.com/14937752/130186095-20669673-b1d3-4552-97bf-86bbc1a5d43b.png) Environment - Windows 10 - Google Chrome 92.0.4515.159 [images.pptx](https://github.com/apache/spark/files/7029087/images.pptx) Closes #33786 from yoda-mon/replace-pyspark-doc-images. Authored-by: Leona Yoda <yodal@oss.nttdata.com> Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>		2021-08-26 19:03:02 +09:00
..
docs	[SPARK-36541][DOCS][PYTHON] Replace the word Koalas to pandas-on-Spark	2021-08-26 19:03:02 +09:00
lib	[SPARK-34688][PYTHON] Upgrade to Py4J 0.10.9.2	2021-03-11 09:51:41 -06:00
pyspark	[SPARK-36537][PYTHON] Revisit disabled tests for CategoricalDtype	2021-08-26 17:43:49 +09:00
test_coverage	[SPARK-36092][INFRA][BUILD][PYTHON] Migrate to GitHub Actions with Codecov from Jenkins	2021-08-01 21:37:19 +09:00
test_support	Spelling r common dev mlib external project streaming resource managers python	2020-11-27 10:22:45 -06:00
.coveragerc	[SPARK-7721][PYTHON][TESTS] Adds PySpark coverage generation script	2018-01-22 22:12:50 +09:00
.gitignore	[SPARK-3946] gitignore in /python includes wrong directory	2014-10-14 14:09:39 -07:00
MANIFEST.in	[SPARK-32714][PYTHON] Initial pyspark-stubs port	2020-09-24 14:15:36 +09:00
mypy.ini	[SPARK-35684][INFRA][PYTHON] Bump up mypy version in GitHub Actions	2021-07-07 13:26:28 +09:00
pylintrc	[SPARK-32435][PYTHON] Remove heapq3 port from Python 3	2020-07-27 20:10:13 +09:00
README.md	[SPARK-36474][PYTHON][DOCS] Mention 'pandas API on Spark' in Spark overview pages	2021-08-11 22:57:26 +09:00
run-tests	[SPARK-29672][PYSPARK] update spark testing framework to use python3	2019-11-14 10:18:55 -08:00
run-tests-with-coverage	[SPARK-36092][INFRA][BUILD][PYTHON] Migrate to GitHub Actions with Codecov from Jenkins	2021-08-01 21:37:19 +09:00
run-tests.py	[SPARK-32194][PYTHON] Use proper exception classes instead of plain Exception	2021-05-26 11:54:40 +09:00
setup.cfg	[SPARK-1267][SPARK-18129] Allow PySpark to be pip installed	2016-11-16 14:22:15 -08:00
setup.py	[SPARK-35759][PYTHON] Remove the upperbound for numpy for pandas-on-Spark	2021-06-15 09:59:05 +09:00

README.md

Apache Spark

Spark is a unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, pandas API on Spark for pandas workloads, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing.

https://spark.apache.org/

Online Documentation

You can find the latest Spark documentation, including a programming guide, on the project web page

Python Packaging

This README file only contains basic information related to pip installed PySpark. This packaging is currently experimental and may change in future versions (although we will do our best to keep compatibility). Using PySpark requires the Spark JARs, and if you are building this from source please see the builder instructions at "Building Spark".

The Python packaging for Spark is not intended to replace all of the other use cases. This Python packaged version of Spark is suitable for interacting with an existing cluster (be it Spark standalone, YARN, or Mesos) - but does not contain the tools required to set up your own standalone Spark cluster. You can download the full version of Spark from the Apache Spark downloads page.

NOTE: If you are using this with a Spark standalone cluster you must ensure that the version (including minor version) matches or you may experience odd errors.

Python Requirements

At its core PySpark depends on Py4J, but some additional sub-packages have their own extra requirements for some features (including numpy, pandas, and pyarrow). See also Dependencies for production, and dev/requirements.txt for development.