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pyarrow.dataset.Partitioning — Apache Arrow v25.0.1
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pyarrow.dataset.Partitioning#

class pyarrow.dataset.Partitioning#

Bases: _Weakrefable

__init__(*args, **kwargs)#

Methods

__init__(*args,**kwargs)

format(self,expr)

Convert a filter expression into a tuple of (directory, filename) using the current partitioning scheme

parse(self,path)

Parse a path into a partition expression.

Attributes

schema

The arrow Schema attached to the partitioning.

format(self, expr)#

Convert a filter expression into a tuple of (directory, filename) using the current partitioning scheme

Parameters:
exprpyarrow.dataset.Expression
Returns:
tuple[str, str]

Examples

Specify the Schema for paths like /2009/June:

>>> import pyarrow as pa
>>> import pyarrow.dataset as ds
>>> import pyarrow.compute as pc
>>> part = ds.partitioning(pa.schema([("year", pa.int16()),
...                                   ("month", pa.string())]))
>>> part.format(
...     (pc.field("year") == 1862) & (pc.field("month") == "Jan")
... )
('1862/Jan', '')
parse(self, path)#

Parse a path into a partition expression.

Parameters:
pathstr
Returns:
pyarrow.dataset.Expression
schema#

The arrow Schema attached to the partitioning.


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