Python APIΒΆ
- Data Types
- Scalars
- Arrays
- Factory Functions
- Base Class
Array
Array.__len__()
Array.dtype
Array.fill_forward()
Array.filter()
Array.from_arrow()
Array.id
Array.nbytes
Array.scalar_at()
Array.slice()
Array.take()
Array.to_arrow_array()
Array.to_arrow_table()
Array.to_numpy()
Array.to_pandas_df()
Array.to_polars_dataframe()
Array.to_polars_series()
Array.to_pylist()
Array.tree_display()
- Typed Arrays
NullTypeArray
BoolTypeArray
PrimitiveTypeArray
UIntTypeArray
UInt8TypeArray
UInt16TypeArray
UInt32TypeArray
UInt64TypeArray
IntTypeArray
Int8TypeArray
Int16TypeArray
Int32TypeArray
Int64TypeArray
FloatTypeArray
Float16TypeArray
Float32TypeArray
Float64TypeArray
Utf8TypeArray
BinaryTypeArray
StructTypeArray
ListTypeArray
ExtensionTypeArray
- Canonical Encodings
- Utility Encodings
- Compressed Encodings
- Pluggable Encodings
- Registry and Serde
- Expressions
- Compression
- Input and Output
- Dataset
VortexDataset
VortexDataset.count_rows()
VortexDataset.filter()
VortexDataset.get_fragments()
VortexDataset.head()
VortexDataset.join()
VortexDataset.join_asof()
VortexDataset.replace_schema()
VortexDataset.scanner()
VortexDataset.schema
VortexDataset.sort_by()
VortexDataset.take()
VortexDataset.to_batches()
VortexDataset.to_record_batch_reader()
VortexDataset.to_table()
VortexScanner