Data Types and Schemas — Apache Arrow v20.0.0 (original) (raw)
These should be used to create Arrow data types and schemas.
| null() | Create instance of null type. |
|---|---|
| bool_() | Create instance of boolean type. |
| int8() | Create instance of signed int8 type. |
| int16() | Create instance of signed int16 type. |
| int32() | Create instance of signed int32 type. |
| int64() | Create instance of signed int64 type. |
| uint8() | Create instance of unsigned int8 type. |
| uint16() | Create instance of unsigned uint16 type. |
| uint32() | Create instance of unsigned uint32 type. |
| uint64() | Create instance of unsigned uint64 type. |
| float16() | Create half-precision floating point type. |
| float32() | Create single-precision floating point type. |
| float64() | Create double-precision floating point type. |
| time32(unit) | Create instance of 32-bit time (time of day) type with unit resolution. |
| time64(unit) | Create instance of 64-bit time (time of day) type with unit resolution. |
| timestamp(unit[, tz]) | Create instance of timestamp type with resolution and optional time zone. |
| date32() | Create instance of 32-bit date (days since UNIX epoch 1970-01-01). |
| date64() | Create instance of 64-bit date (milliseconds since UNIX epoch 1970-01-01). |
| duration(unit) | Create instance of a duration type with unit resolution. |
| month_day_nano_interval() | Create instance of an interval type representing months, days and nanoseconds between two dates. |
| binary(int length=-1) | Create variable-length or fixed size binary type. |
| string() | Create UTF8 variable-length string type. |
| utf8() | Alias for string(). |
| large_binary() | Create large variable-length binary type. |
| large_string() | Create large UTF8 variable-length string type. |
| large_utf8() | Alias for large_string(). |
| binary_view() | Create a variable-length binary view type. |
| string_view() | Create UTF8 variable-length string view type. |
| decimal128(int precision, int scale=0) | Create decimal type with precision and scale and 128-bit width. |
| decimal256(int precision, int scale=0) | Create decimal type with precision and scale and 256-bit width. |
| list_(value_type, int list_size=-1) | Create ListType instance from child data type or field. |
| large_list(value_type) | Create LargeListType instance from child data type or field. |
| list_view(value_type) | Create ListViewType instance from child data type or field. |
| large_list_view(value_type) | Create LargeListViewType instance from child data type or field. |
| map_(key_type, item_type[, keys_sorted]) | Create MapType instance from key and item data types or fields. |
| struct(fields) | Create StructType instance from fields. |
| dictionary(index_type, value_type, ...) | Dictionary (categorical, or simply encoded) type. |
| run_end_encoded(run_end_type, value_type) | Create RunEndEncodedType from run-end and value types. |
| fixed_shape_tensor(DataType value_type, shape) | Create instance of fixed shape tensor extension type with shape and optional names of tensor dimensions and indices of the desired logical ordering of dimensions. |
| union(child_fields, mode[, type_codes]) | Create UnionType from child fields. |
| dense_union(child_fields[, type_codes]) | Create DenseUnionType from child fields. |
| sparse_union(child_fields[, type_codes]) | Create SparseUnionType from child fields. |
| opaque(DataType storage_type, ...) | Create instance of opaque extension type. |
| bool8() | Create instance of bool8 extension type. |
| uuid() | Create UuidType instance. |
| json_(DataType storage_type=utf8) | Create instance of JSON extension type. |
| field(name[, type, nullable, metadata]) | Create a pyarrow.Field instance. |
| schema(fields[, metadata]) | Construct pyarrow.Schema from collection of fields. |
| from_numpy_dtype(dtype) | Convert NumPy dtype to pyarrow.DataType. |