. . . . . . . . . . . . . . . . . . . . . . . . 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

. . . . . . . . . . . . . . . . . . . . . . . . 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

. . . . . . . . . . . . . . . . . . . . . . . . 2846 4.11.1 Storing pandas DataFrame objects in Apache Parquet format . . . . . . . . . . . . . . . . . 2846 4.12 Policies . . . . . . . . . . . . . . missing value handling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2850 4.13.4 Apache Arrow interoperability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2850 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

. . . . . . . . . . . . . . . . . . . . . . . . 2848 4.11.1 Storing pandas DataFrame objects in Apache Parquet format . . . . . . . . . . . . . . . . . 2848 4.12 Policies . . . . . . . . . . . . . . missing value handling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2852 4.13.4 Apache Arrow interoperability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2852 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

. . . . . . . . . . . . . . . . . . . . . . . . . 3016 4.9.1 Storing pandas DataFrame objects in Apache Parquet format . . . . . . . . . . . . . . . . . 3016 4.10 Policies . . . . . . . . . . . . . . missing value handling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3020 4.11.4 Apache Arrow interoperability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3020 4 category g datetime64[ns] h datetime64[ns, US/Eastern] i datetime64[ns] dtype: object Parquet Apache Parquet provides a partitioned binary columnar serialization for data frames. It is designed to make

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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