sanjibansg commented on a change in pull request #12530:
URL: https://github.com/apache/arrow/pull/12530#discussion_r838000260
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File path: python/pyarrow/_dataset.pyx
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@@ -1571,26 +1586,114 @@ cdef class HivePartitioning(Partitioning):
return PartitioningFactory.wrap(
CHivePartitioning.MakeFactory(c_options))
- @property
- def dictionaries(self):
+
+cdef class FilenamePartitioning(KeyValuePartitioning):
+ """
+ A Partitioning based on a specified Schema.
+
+ The FilenamePartitioning expects one segment in the file name for each
+ field in the schema (all fields are required to be present) separated
+ by '_'. For example given schema<year:int16, month:int8> the name
+ "2009_11" would be parsed to ("year"_ == 2009 and "month"_ == 11).
+
+ Parameters
+ ----------
+ schema : Schema
+ The schema that describes the partitions present in the file path.
+ dictionaries : dict[str, Array]
+ If the type of any field of `schema` is a dictionary type, the
+ corresponding entry of `dictionaries` must be an array containing
+ every value which may be taken by the corresponding column or an
+ error will be raised in parsing.
+ segment_encoding : str, default "uri"
+ After splitting paths into segments, decode the segments. Valid
+ values are "uri" (URI-decode segments) and "none" (leave as-is).
+
+ Returns
+ -------
+ FilenamePartitioning
+
+ Examples
+ --------
+ >>> from pyarrow.dataset import FilenamePartitioning
+ >>> partition = FilenamePartitioning(
+ ... pa.schema([("year", pa.int16()), ("month", pa.int8())]))
Review comment:
Corrected that, thanks!
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