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[GitHub] [spark] xinrong-databricks opened a new pull request #34657: [WIP] Support TimedeltaIndex in pandas API on Spark
xinrong-databricks opened a new pull request #34657:
URL: https://github.com/apache/spark/pull/34657
### What changes were proposed in this pull request?
Support TimedeltaIndex in pandas API on Spark
### Why are the changes needed?
Since the support of DayTimeIntervalType is in progress, we may add TimedeltaIndex support in pandas API on Spark as well.
### Does this PR introduce _any_ user-facing change?
### How was this patch tested?
Unit tests.
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nice!
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[GitHub] [spark] xinrong-databricks commented on a change in pull request #34657: [SPARK-37511][PYTHON] Introduce TimedeltaIndex to pandas API on Spark
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xinrong-databricks commented on a change in pull request #34657:
URL: https://github.com/apache/spark/pull/34657#discussion_r759874628
##########
File path: python/pyspark/pandas/indexes/timedelta.py
##########
@@ -0,0 +1,100 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements. See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from typing import cast, no_type_check, Any
+from functools import partial
+
+import pandas as pd
+from pandas.api.types import is_hashable
+
+from pyspark import pandas as ps
+from pyspark._globals import _NoValue
+from pyspark.pandas.indexes.base import Index
+from pyspark.pandas.missing.indexes import MissingPandasLikeTimedeltaIndex
+from pyspark.pandas.series import Series
+
+
+class TimedeltaIndex(Index):
+ """
+ Immutable ndarray-like of timedelta64 data, represented internally as int64, and
+ which can be boxed to timedelta objects.
+
+ Parameters
+ ----------
+ data : array-like (1-dimensional), optional
+ Optional timedelta-like data to construct index with.
+ unit : unit of the arg (D,h,m,s,ms,us,ns) denote the unit, optional
+ Which is an integer/float number.
+ freq : str or pandas offset object, optional
+ One of pandas date offset strings or corresponding objects. The string
+ 'infer' can be passed in order to set the frequency of the index as the
+ inferred frequency upon creation.
+ copy : bool
+ Make a copy of input ndarray.
+ name : object
+ Name to be stored in the index.
+
+ See Also
+ --------
+ Index : The base pandas Index type.
+
+ Examples
+ --------
+ >>> from datetime import timedelta
+ >>> ps.TimedeltaIndex([timedelta(1), timedelta(microseconds=2)])
+ TimedeltaIndex(['1 days 00:00:00', '0 days 00:00:00.000002'], dtype='timedelta64[ns]', freq=None)
+ """
+
+ @no_type_check
+ def __new__(
+ cls,
+ data=None,
+ unit=None,
+ freq=_NoValue,
+ closed=None,
+ dtype=None,
+ copy=False,
+ name=None,
+ ) -> "TimedeltaIndex":
+ if not is_hashable(name):
+ raise TypeError("Index.name must be a hashable type")
+
+ if isinstance(data, (Series, Index)):
+ # TODO(SPARK-37512): Support TimedeltaIndex creation given a timedelta Series/Index
Review comment:
To support TimedeltaIndex creation given a timedelta Series/Index involves many changes in python/pyspark/pandas/data_type_ops/. Shall we implement that separately in https://issues.apache.org/jira/browse/SPARK-37512?
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