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### Rationale for this change Fixes #50037 ### What changes are included in this PR? Add `gc.collect()` before `prior_allocation = pa.total_allocated_bytes()` in `test_table_uses_memory_pool` and also add to `_check_to_pandas_memory_unchanged` helper with the same pattern. Same fix as #44793 ### Are these changes tested? Not reproduced locally yet. ### Are there any user-facing changes? No. * GitHub Issue: #50037 Authored-by: Tadeja Kadunc <tadeja.kadunc@gmail.com> Signed-off-by: Raúl Cumplido <raulcumplido@gmail.com>
Python library for Apache Arrow
This library provides a Python API for functionality provided by the Arrow C++ libraries, along with tools for Arrow integration and interoperability with pandas, NumPy, and other software in the Python ecosystem.
Installing
Across platforms, you can install a recent version of pyarrow with the conda package manager:
conda install pyarrow -c conda-forge
On Linux, macOS, and Windows, you can also install binary wheels from PyPI with pip:
pip install pyarrow
If you encounter any issues importing the pip wheels on Windows, you may need to install the latest Visual C++ Redistributable for Visual Studio.
Development
See Python Development in the documentation subproject.
Building the documentation
See documentation build instructions in the documentation subproject.