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Chunked Primitive Arrays

Chunked arrays of non-geospatial types. These exist to be used as return types from geospatial operations to maintain strong typing.

geoarrow.rust.core

ChunkedBooleanArray

__arrow_c_stream__ method descriptor 

__arrow_c_stream__(requested_schema: object | None = None) -> object

An implementation of the Arrow PyCapsule Interface. This dunder method should not be called directly, but enables zero-copy data transfer to other Python libraries that understand Arrow memory.

For example (as of the upcoming pyarrow v16), you can call pyarrow.chunked_array() to convert this array into a pyarrow array, without copying memory.

chunks method descriptor 

chunks() -> List[BooleanArray]

Convert to a list of single-chunked arrays.

num_chunks method descriptor 

num_chunks() -> int

Number of underlying chunks.

to_numpy method descriptor 

to_numpy() -> NDArray[np.bool_]

Copy this array to a numpy NDArray

ChunkedFloat64Array

__arrow_c_stream__ method descriptor 

__arrow_c_stream__(requested_schema: object | None = None) -> object

An implementation of the Arrow PyCapsule Interface. This dunder method should not be called directly, but enables zero-copy data transfer to other Python libraries that understand Arrow memory.

For example (as of the upcoming pyarrow v16), you can call pyarrow.chunked_array() to convert this array into a pyarrow array, without copying memory.

chunks method descriptor 

chunks() -> List[Float64Array]

Convert to a list of single-chunked arrays.

from_numpy builtin 

from_numpy(arr: NDArray[np.float64], lengths: List[int]) -> Self

Construct a chunked array from a Numpy ndarray

num_chunks method descriptor 

num_chunks() -> int

Number of underlying chunks.

to_numpy method descriptor 

to_numpy() -> NDArray[np.float64]

Copy this array to a numpy NDArray