Xinrong Meng created SPARK-39405:
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Summary: NumPy support in SQL
Key: SPARK-39405
URL: https://issues.apache.org/jira/browse/SPARK-39405
Project: Spark
Issue Type: Umbrella
Components: PySpark
Affects Versions: 3.4.0
Reporter: Xinrong Meng
NumPy is the fundamental package for scientific computing with Python. It is
very commonly used, especially in the data science world. For example, Pandas
is backed by NumPy, and Tensors also supports interchangeable conversion
from/to NumPy arrays.
However, PySpark only supports Python built-in types with the exception of
“SparkSession.createDataFrame(pandas.DataFrame)” and “DataFrame.toPandas”.
This issue has been raised multiple times internally and externally, see also
SPARK-2012, SPARK-37697, SPARK-31776, and SPARK-6857.
With the NumPy support in SQL, we expect more adaptations from naive data
scientists and newcomers leveraging their existing background and codebase with
NumPy.
See more at [].
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