emkornfield commented on a change in pull request #11302:
URL: https://github.com/apache/arrow/pull/11302#discussion_r721897842
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File path: python/pyarrow/tests/test_array.py
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@@ -2162,6 +2163,101 @@ def test_array_from_numpy_ascii():
assert arrow_arr.equals(expected)
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+def test_interval_array_from_timedelta():
+ data = [
+ None,
+ datetime.timedelta(days=1, seconds=1, microseconds=1,
+ milliseconds=1, minutes=1, hours=1, weeks=1)]
+
+ # From timedelta (explicit type required)
+ arr = pa.array(data, pa.month_day_nano_interval())
+ assert isinstance(arr, pa.MonthDayNanoIntervalArray)
+ assert arr.type == pa.month_day_nano_interval()
+ expected_list = [
+ None,
+ pa.MonthDayNanoTuple([0, 8,
+ (datetime.timedelta(seconds=1, microseconds=1,
+ milliseconds=1, minutes=1,
+ hours=1) //
+ datetime.timedelta(microseconds=1)) * 1000])]
+ expected = pa.array(expected_list)
+ assert arr.equals(expected)
+ assert arr.to_pylist() == expected_list
+
+# dateutil is dependency of pandas
+
+
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+def test_interval_array_from_relativedelta():
+ from dateutil.relativedelta import relativedelta
+ from pandas.tseries.offsets import DateOffset
+ data = [
+ None,
+ relativedelta(years=1, months=1,
+ days=1, seconds=1, microseconds=1,
+ minutes=1, hours=1, weeks=1, leapdays=1)]
+ # Note leapdays are ignored.
Review comment:
added to pa.array(...) doc string.
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