pyarrow.DictionaryScalar#

classpyarrow.DictionaryScalar#

Bases:Scalar

Concrete class for dictionary-encoded scalars.

__init__(*args,**kwargs)#

Methods

__init__(*args, **kwargs)

as_py(self, *[, maps_as_pydicts])

Return this encoded value as a Python object.

cast(self[, target_type, safe, options, ...])

Cast scalar value to another data type.

equals(self, Scalar other)

validate(self, *[, full])

Perform validation checks.

Attributes

dictionary

index

Return this value's underlying index as a scalar.

is_valid

Holds a valid (non-null) value.

type

Data type of the Scalar object.

value

Return the encoded value as a scalar.

as_py(self,*,maps_as_pydicts=None)#

Return this encoded value as a Python object.

Parameters:
maps_as_pydictsstr, optional, defaultNone

Valid values areNone, ‘lossy’, or ‘strict’.The default behavior (None), is to convert Arrow Map arrays toPython association lists (list-of-tuples) in the same order as theArrow Map, as in [(key1, value1), (key2, value2), …].

If ‘lossy’ or ‘strict’, convert Arrow Map arrays to native Python dicts.

If ‘lossy’, whenever duplicate keys are detected, a warning will be printed.The last seen value of a duplicate key will be in the Python dictionary.If ‘strict’, this instead results in an exception being raised when detected.

cast(self,target_type=None,safe=None,options=None,memory_pool=None)#

Cast scalar value to another data type.

Seepyarrow.compute.cast() for usage.

Parameters:
target_typeDataType, defaultNone

Type to cast scalar to.

safebool, defaultTrue

Whether to check for conversion errors such as overflow.

optionsCastOptions, defaultNone

Additional checks pass by CastOptions

memory_poolMemoryPool, optional

memory pool to use for allocations during function execution.

Returns:
scalarAScalar ofthegiventargetdata type.
dictionary#
equals(self,Scalarother)#
Parameters:
otherpyarrow.Scalar
Returns:
bool
index#

Return this value’s underlying index as a scalar.

is_valid#

Holds a valid (non-null) value.

type#

Data type of the Scalar object.

validate(self,*,full=False)#

Perform validation checks. An exception is raised if validation fails.

By default only cheap validation checks are run. Passfull=Truefor thorough validation checks (potentially O(n)).

Parameters:
fullbool, defaultFalse

If True, run expensive checks, otherwise cheap checks only.

Raises:
ArrowInvalid
value#

Return the encoded value as a scalar.