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[SPARK-49801][PYTHON][PS][BUILD] Update pandas to 2.2.3
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### What changes were proposed in this pull request?
Update pandas from 2.2.2 to 2.2.3

### Why are the changes needed?
[Release notes](https://pandas.pydata.org/pandas-docs/version/2.2.3/whatsnew/v2.2.3.html)

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Pass GA

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #48269 from bjornjorgensen/pandas2.2.3.

Authored-by: Bjørn Jørgensen <bjornjorgensen@gmail.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
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bjornjorgensen authored and HyukjinKwon committed Sep 27, 2024
1 parent 488c3f6 commit 27d4a77
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4 changes: 2 additions & 2 deletions dev/infra/Dockerfile
Original file line number Diff line number Diff line change
Expand Up @@ -91,10 +91,10 @@ RUN mkdir -p /usr/local/pypy/pypy3.9 && \
ln -sf /usr/local/pypy/pypy3.9/bin/pypy /usr/local/bin/pypy3.9 && \
ln -sf /usr/local/pypy/pypy3.9/bin/pypy /usr/local/bin/pypy3
RUN curl -sS https://bootstrap.pypa.io/get-pip.py | pypy3
RUN pypy3 -m pip install 'numpy==1.26.4' 'six==1.16.0' 'pandas==2.2.2' scipy coverage matplotlib lxml
RUN pypy3 -m pip install 'numpy==1.26.4' 'six==1.16.0' 'pandas==2.2.3' scipy coverage matplotlib lxml


ARG BASIC_PIP_PKGS="numpy==1.26.4 pyarrow>=15.0.0 six==1.16.0 pandas==2.2.2 scipy plotly>=4.8 mlflow>=2.8.1 coverage matplotlib openpyxl memory-profiler>=0.61.0 scikit-learn>=1.3.2"
ARG BASIC_PIP_PKGS="numpy==1.26.4 pyarrow>=15.0.0 six==1.16.0 pandas==2.2.3 scipy plotly>=4.8 mlflow>=2.8.1 coverage matplotlib openpyxl memory-profiler>=0.61.0 scikit-learn>=1.3.2"
# Python deps for Spark Connect
ARG CONNECT_PIP_PKGS="grpcio==1.62.0 grpcio-status==1.62.0 protobuf==4.25.1 googleapis-common-protos==1.56.4 graphviz==0.20.3"

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2 changes: 1 addition & 1 deletion python/pyspark/pandas/supported_api_gen.py
Original file line number Diff line number Diff line change
Expand Up @@ -38,7 +38,7 @@
MAX_MISSING_PARAMS_SIZE = 5
COMMON_PARAMETER_SET = {"kwargs", "args", "cls"}
MODULE_GROUP_MATCH = [(pd, ps), (pdw, psw), (pdg, psg)]
PANDAS_LATEST_VERSION = "2.2.2"
PANDAS_LATEST_VERSION = "2.2.3"

RST_HEADER = """
=====================
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