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new 8c538921a8ae [SPARK-52840][PYTHON][DOCS][FOLLOW-UP] Increase Pandas
minimum version to 2.2.0
8c538921a8ae is described below
commit 8c538921a8ae95be0051a66ad53def2a4ff81020
Author: Ruifeng Zheng <ruife...@apache.org>
AuthorDate: Fri Jul 25 12:28:54 2025 +0800
[SPARK-52840][PYTHON][DOCS][FOLLOW-UP] Increase Pandas minimum version to
2.2.0
### What changes were proposed in this pull request?
follow up https://github.com/apache/spark/pull/51531
### Why are the changes needed?
some places were missing in https://github.com/apache/spark/pull/51531
### Does this PR introduce _any_ user-facing change?
no
### How was this patch tested?
ci
### Was this patch authored or co-authored using generative AI tooling?
no
Closes #51662 from zhengruifeng/pandas_220_followup.
Authored-by: Ruifeng Zheng <ruife...@apache.org>
Signed-off-by: Ruifeng Zheng <ruife...@apache.org>
---
python/docs/source/migration_guide/pyspark_upgrade.rst | 1 +
python/packaging/classic/setup.py | 2 +-
python/packaging/client/setup.py | 2 +-
python/pyspark/sql/pandas/utils.py | 2 +-
4 files changed, 4 insertions(+), 3 deletions(-)
diff --git a/python/docs/source/migration_guide/pyspark_upgrade.rst
b/python/docs/source/migration_guide/pyspark_upgrade.rst
index 2f8af88b6f8b..db77701ea41a 100644
--- a/python/docs/source/migration_guide/pyspark_upgrade.rst
+++ b/python/docs/source/migration_guide/pyspark_upgrade.rst
@@ -24,6 +24,7 @@ Upgrading from PySpark 4.0 to 4.1
* In Spark 4.1, Python 3.9 support was dropped in PySpark.
* In Spark 4.1, the minimum supported version for PyArrow has been raised from
11.0.0 to 15.0.0 in PySpark.
+* In Spark 4.1, the minimum supported version for Pandas has been raised from
2.0.0 to 2.2.0 in PySpark.
* In Spark 4.1, ``DataFrame['name']`` on Spark Connect Python Client no longer
eagerly validate the column name. To restore the legacy behavior, set
``PYSPARK_VALIDATE_COLUMN_NAME_LEGACY`` environment variable to ``1``.
* In Spark 4.1, Arrow-optimized Python UDF supports UDT input / output instead
of falling back to the regular UDF. To restore the legacy behavior, set
``spark.sql.execution.pythonUDF.arrow.legacy.fallbackOnUDT`` to ``true``.
* In Spark 4.1, unnecessary conversion to pandas instances is removed when
``spark.sql.execution.pythonUDF.arrow.enabled`` is enabled. As a result, the
type coercion changes when the produced output has a schema different from the
specified schema. To restore the previous behavior, enable
``spark.sql.legacy.execution.pythonUDF.pandas.conversion.enabled``.
diff --git a/python/packaging/classic/setup.py
b/python/packaging/classic/setup.py
index 775fd4be4748..fcb607a561b3 100755
--- a/python/packaging/classic/setup.py
+++ b/python/packaging/classic/setup.py
@@ -150,7 +150,7 @@ if in_spark:
# binary format protocol with the Java version, see ARROW_HOME/format/* for
specifications.
# Also don't forget to update python/docs/source/getting_started/install.rst,
# python/packaging/client/setup.py, and python/packaging/connect/setup.py
-_minimum_pandas_version = "2.0.0"
+_minimum_pandas_version = "2.2.0"
_minimum_numpy_version = "1.21"
_minimum_pyarrow_version = "15.0.0"
_minimum_grpc_version = "1.67.0"
diff --git a/python/packaging/client/setup.py b/python/packaging/client/setup.py
index 1f000046748d..d70c17465331 100755
--- a/python/packaging/client/setup.py
+++ b/python/packaging/client/setup.py
@@ -133,7 +133,7 @@ try:
# binary format protocol with the Java version, see ARROW_HOME/format/*
for specifications.
# Also don't forget to update
python/docs/source/getting_started/install.rst,
# python/packaging/classic/setup.py, and python/packaging/connect/setup.py
- _minimum_pandas_version = "2.0.0"
+ _minimum_pandas_version = "2.2.0"
_minimum_numpy_version = "1.21"
_minimum_pyarrow_version = "15.0.0"
_minimum_grpc_version = "1.67.0"
diff --git a/python/pyspark/sql/pandas/utils.py
b/python/pyspark/sql/pandas/utils.py
index 5cf74b2b5732..aef2e2d93c01 100644
--- a/python/pyspark/sql/pandas/utils.py
+++ b/python/pyspark/sql/pandas/utils.py
@@ -22,7 +22,7 @@ from pyspark.errors import PySparkImportError,
PySparkRuntimeError
def require_minimum_pandas_version() -> None:
"""Raise ImportError if minimum version of Pandas is not installed"""
# TODO(HyukjinKwon): Relocate and deduplicate the version specification.
- minimum_pandas_version = "2.0.0"
+ minimum_pandas_version = "2.2.0"
try:
import pandas
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