[SPARK-53931][INFRA][PYTHON] Fix scheduled job for numpy 2.1.3

### What changes were proposed in this pull request?
Fix scheduled job for numpy 2.1.3

### Why are the changes needed?
to fix https://github.com/apache/spark/actions/runs/18538043179/job/52838303733

it was caused by a bug in 19.0.0, see apache/arrow#45283

### Does this PR introduce _any_ user-facing change?
no, infra-only

### How was this patch tested?
PR builder with
```
default: '{"PYSPARK_IMAGE_TO_TEST": "numpy-213", "PYTHON_TO_TEST": "python3.11"}'
```

see https://github.com/zhengruifeng/spark/actions/runs/18527303212/job/52801019275

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

Closes #52633 from zhengruifeng/restore_numpy_213.

Authored-by: Ruifeng Zheng <[email protected]>
Signed-off-by: Ruifeng Zheng <[email protected]>

Author: zhengruifeng

dev/spark-test-image/numpy-213/Dockerfile

@@ -68,7 +68,7 @@ RUN apt-get update && apt-get install -y \
 
 
 # Pin numpy==2.1.3
-ARG BASIC_PIP_PKGS="numpy==2.1.3 pyarrow==19.0.0 six==1.16.0 pandas==2.2.3 scipy plotly<6.0.0 mlflow>=2.8.1 coverage matplotlib openpyxl memory-profiler>=0.61.0 scikit-learn>=1.3.2"
+ARG BASIC_PIP_PKGS="numpy==2.1.3 pyarrow>=21.0.0 six==1.16.0 pandas==2.2.3 scipy plotly<6.0.0 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==1.67.0 grpcio-status==1.67.0 protobuf==5.29.5 googleapis-common-protos==1.65.0 graphviz==0.20.3"