write one yourself if possible). If one isn’t provide reasonably soon, close it according to the policies in Closing Issues. 5.3.7 Cleaning up old Pull Requests Occasionally, contributors are unable to None} ], 'pandas_version': '0.20.0', 'creator': { 'library': 'pyarrow', 'version': '0.13.0' }} 5.7 Policies 5.7.1 Version Policy Changed in version 1.0.0. Pandas uses a loose variant of semantic versioning mailing list. These policies do not apply to features marked as experimental in the documentation. Pandas may change the behavior of experimental features at any time. 5.7. Policies 2365 pandas: powerful

Storing pandas DataFrame objects in Apache Parquet format . . . . . . . . . . . . . . . . . 2846 4.12 Policies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . write one yourself if possible). If one isn’t provide reasonably soon, close it according to the policies in Closing issues. 4.6.8 Cleaning up old pull requests Occasionally, contributors are unable to 2848 Chapter 4. Development pandas: powerful Python data analysis toolkit, Release 1.4.2 4.12 Policies 4.12.1 Version policy Changed in version 1.0.0. pandas uses a loose variant of semantic versioning

Storing pandas DataFrame objects in Apache Parquet format . . . . . . . . . . . . . . . . . 2848 4.12 Policies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . write one yourself if possible). If one isn’t provide reasonably soon, close it according to the policies in Closing issues. 4.6.8 Cleaning up old pull requests Occasionally, contributors are unable to 2850 Chapter 4. Development pandas: powerful Python data analysis toolkit, Release 1.4.4 4.12 Policies 4.12.1 Version policy Changed in version 1.0.0. pandas uses a loose variant of semantic versioning

Storing pandas DataFrame objects in Apache Parquet format . . . . . . . . . . . . . . . . . 2381 4.7 Policies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . write one yourself if possible). If one isn’t provide reasonably soon, close it according to the policies in Closing Issues. 4.3.7 Cleaning up old Pull Requests Occasionally, contributors are unable to None} ], 'pandas_version': '0.20.0', 'creator': { 'library': 'pyarrow', 'version': '0.13.0' }} 4.7 Policies 4.7.1 Version Policy Changed in version 1.0.0. Pandas uses a loose variant of semantic versioning

Storing pandas DataFrame objects in Apache Parquet format . . . . . . . . . . . . . . . . . 2377 4.7 Policies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . write one yourself if possible). If one isn’t provide reasonably soon, close it according to the policies in Closing Issues. 4.3.7 Cleaning up old Pull Requests Occasionally, contributors are unable to None} ], 'pandas_version': '0.20.0', 'creator': { 'library': 'pyarrow', 'version': '0.13.0' }} 4.7 Policies 4.7.1 Version Policy Changed in version 1.0.0. Pandas uses a loose variant of semantic versioning

Storing pandas DataFrame objects in Apache Parquet format . . . . . . . . . . . . . . . . . 2476 4.7 Policies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . write one yourself if possible). If one isn’t provide reasonably soon, close it according to the policies in Closing issues. 4.3. pandas maintenance 2471 pandas: powerful Python data analysis toolkit None} ], 'pandas_version': '0.20.0', 'creator': { 'library': 'pyarrow', 'version': '0.13.0' }} 4.7 Policies 4.7.1 Version policy Changed in version 1.0.0. pandas uses a loose variant of semantic versioning

Storing pandas DataFrame objects in Apache Parquet format . . . . . . . . . . . . . . . . . 2476 4.7 Policies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . write one yourself if possible). If one isn’t provide reasonably soon, close it according to the policies in Closing issues. 4.3. pandas maintenance 2471 pandas: powerful Python data analysis toolkit None} ], 'pandas_version': '0.20.0', 'creator': { 'library': 'pyarrow', 'version': '0.13.0' }} 4.7 Policies 4.7.1 Version policy Changed in version 1.0.0. pandas uses a loose variant of semantic versioning

Storing pandas DataFrame objects in Apache Parquet format . . . . . . . . . . . . . . . . . 2367 5.7 Policies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . write one yourself if possible). If one isn’t provide reasonably soon, close it according to the policies in Closing Issues. 5.3.7 Cleaning up old Pull Requests Occasionally, contributors are unable to None} ], 'pandas_version': '0.20.0', 'creator': { 'library': 'pyarrow', 'version': '0.13.0' }} 5.7 Policies 5.7.1 Version Policy Changed in version 1.0.0. Pandas uses a loose variant of semantic versioning

Storing pandas DataFrame objects in Apache Parquet format . . . . . . . . . . . . . . . . . 3016 4.10 Policies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . write one yourself if possible). If one isn’t provide reasonably soon, close it according to the policies in Closing issues. 4.5.8 Cleaning up old pull requests Occasionally, contributors are unable to 3018 Chapter 4. Development pandas: powerful Python data analysis toolkit, Release 1.5.0rc0 4.10 Policies 4.10.1 Version policy Changed in version 1.0.0. pandas uses a loose variant of semantic versioning

Storing pandas DataFrame objects in Apache Parquet format . . . . . . . . . . . . . . . . . 2531 4.9 Policies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . write one yourself if possible). If one isn’t provide reasonably soon, close it according to the policies in Closing issues. 4.3.7 Cleaning up old pull requests Occasionally, contributors are unable to None} ], 'pandas_version': '0.20.0', 'creator': { 'library': 'pyarrow', 'version': '0.13.0' }} 4.9 Policies 4.9.1 Version policy Changed in version 1.0.0. pandas uses a loose variant of semantic versioning