. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 1.2.1.1 Integration with Apache Parquet file format . . . . . . . . . . . . . . . . . . . . . 8 1.2.1.2 infer_objects type conversion . . . . . . . . . . . . . . . 2012 35 Developer 2013 35.1 Storing pandas DataFrame objects in Apache Parquet format . . . . . . . . . . . . . . . . . . . . . . 2013 36 Internals 2017 36.1 Indexing fixes. We recommend that all users upgrade to this version. Highlights include: • Integration with Apache Parquet, including a new top-level read_parquet() function and DataFrame. to_parquet() method, see

. . . . . . . . . . . . . . . . . . . . . . . . . 2381 4.6.1 Storing pandas DataFrame objects in Apache Parquet format . . . . . . . . . . . . . . . . . 2381 4.7 Policies . . . . . . . . . . . . . . type . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2385 4.8.3 Apache Arrow interoperability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2386 4 datetime64[ns, US/Eastern] i datetime64[ns] dtype: object 2.1.12 Parquet New in version 0.21.0. Apache Parquet provides a partitioned binary columnar serialization for data frames. It is designed to make

. . . . . . . . . . . . . . . . . . . . . . . . . 2377 4.6.1 Storing pandas DataFrame objects in Apache Parquet format . . . . . . . . . . . . . . . . . 2377 4.7 Policies . . . . . . . . . . . . . . type . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2381 4.8.3 Apache Arrow interoperability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2382 4 datetime64[ns, US/Eastern] i datetime64[ns] dtype: object 2.1.12 Parquet New in version 0.21.0. Apache Parquet provides a partitioned binary columnar serialization for data frames. It is designed to make

. . . . . . . . . . . . . . . . . . . . . . . . . 2476 4.6.1 Storing pandas DataFrame objects in Apache Parquet format . . . . . . . . . . . . . . . . . 2476 4.7 Policies . . . . . . . . . . . . . . type . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2480 4.8.3 Apache Arrow interoperability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2480 4 g datetime64[ns] h datetime64[ns, US/Eastern] i datetime64[ns] dtype: object 2.4.12 Parquet Apache Parquet provides a partitioned binary columnar serialization for data frames. It is designed to make

. . . . . . . . . . . . . . . . . . . . . . . . . 2476 4.6.1 Storing pandas DataFrame objects in Apache Parquet format . . . . . . . . . . . . . . . . . 2476 4.7 Policies . . . . . . . . . . . . . . type . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2480 4.8.3 Apache Arrow interoperability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2480 4 g datetime64[ns] h datetime64[ns, US/Eastern] i datetime64[ns] dtype: object 2.4.12 Parquet Apache Parquet provides a partitioned binary columnar serialization for data frames. It is designed to make

. . . . . . . . . . . . . . . . . . . . . . . . . 2367 5.6.1 Storing pandas DataFrame objects in Apache Parquet format . . . . . . . . . . . . . . . . . 2367 5.7 Policies . . . . . . . . . . . . . . type . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2371 5.8.3 Apache Arrow interoperability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2372 5 datetime64[ns, US/Eastern] i datetime64[ns] dtype: object 3.1.12 Parquet New in version 0.21.0. Apache Parquet provides a partitioned binary columnar serialization for data frames. It is designed to make

datetime64[ns, US/Eastern] i datetime64[ns] dtype: object 3.1.12 Parquet New in version 0.21.0. Apache Parquet provides a partitioned binary columnar serialization for data frames. It is designed to make 0: Added _metadata, __hash__, and changed the default definition of __eq__. For interaction with Apache Arrow (pyarrow), a __from_arrow__ method can be implemented: this method receives a pyarrow Array ndas/tests/extension/base/__init__.py for a list of all the tests available. Compatibility with Apache Arrow An ExtensionArray can support conversion to / from pyarrow arrays (and thus support for example

. . . . . . . . . . . . . . . . . . . . . . . . . 2531 4.8.1 Storing pandas DataFrame objects in Apache Parquet format . . . . . . . . . . . . . . . . . 2531 4.9 Policies . . . . . . . . . . . . . . missing value handling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2536 4.10.4 Apache Arrow interoperability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2536 4 g datetime64[ns] h datetime64[ns, US/Eastern] i datetime64[ns] dtype: object 2.4.12 Parquet Apache Parquet provides a partitioned binary columnar serialization for data frames. It is designed to make

. . . . . . . . . . . . . . . . . . . . . . . . 2674 4.11.1 Storing pandas DataFrame objects in Apache Parquet format . . . . . . . . . . . . . . . . . 2674 4.12 Policies . . . . . . . . . . . . . . missing value handling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2678 4.13.4 Apache Arrow interoperability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2678 4 g datetime64[ns] h datetime64[ns, US/Eastern] i datetime64[ns] dtype: object 2.4.14 Parquet Apache Parquet provides a partitioned binary columnar serialization for data frames. It is designed to make

. . . . . . . . . . . . . . . . . . . . . . . . 2753 4.11.1 Storing pandas DataFrame objects in Apache Parquet format . . . . . . . . . . . . . . . . . 2753 4.12 Policies . . . . . . . . . . . . . . missing value handling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2757 4.13.4 Apache Arrow interoperability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2757 4 g datetime64[ns] h datetime64[ns, US/Eastern] i datetime64[ns] dtype: object 2.4.14 Parquet Apache Parquet provides a partitioned binary columnar serialization for data frames. It is designed to make