danepitkin commented on code in PR #33785:
URL: https://github.com/apache/arrow/pull/33785#discussion_r1107767830
##########
python/pyarrow/types.pxi:
##########
@@ -2664,41 +2901,132 @@ def month_day_nano_interval():
"""
Create instance of an interval type representing months, days and
nanoseconds between two dates.
+
+ Examples
+ --------
+ Create an instance of an month_day_nano_interval type:
+
+ >>> import pyarrow as pa
+ >>> pa.month_day_nano_interval()
+ DataType(month_day_nano_interval)
+
+ Create a scalar with month_day_nano_interval type:
+
+ >>> pa.scalar((1, 15, -30), type=pa.month_day_nano_interval())
+ <pyarrow.MonthDayNanoIntervalScalar: MonthDayNano(months=1, days=15,
nanoseconds=-30)>
"""
return primitive_type(_Type_INTERVAL_MONTH_DAY_NANO)
def date32():
"""
Create instance of 32-bit date (days since UNIX epoch 1970-01-01).
+
+ Examples
+ --------
+ Create an instance of 32-bit date type:
+
+ >>> import pyarrow as pa
+ >>> pa.date32()
+ DataType(date32[day])
+
+ Create a scalar with 32-bit date type:
+
+ >>> from datetime import datetime
+ >>> pa.scalar(datetime(2012, 1, 1), type=pa.date32())
+ <pyarrow.Date32Scalar: datetime.date(2012, 1, 1)>
"""
return primitive_type(_Type_DATE32)
def date64():
"""
Create instance of 64-bit date (milliseconds since UNIX epoch 1970-01-01).
+
+ Examples
+ --------
+ Create an instance of 64-bit date type:
+
+ >>> import pyarrow as pa
+ >>> pa.date64()
+ DataType(date64[ms])
+
+ Create a scalar with 64-bit date type:
+
+ >>> from datetime import datetime
+ >>> pa.scalar(datetime(2012, 1, 1), type=pa.date64())
+ <pyarrow.Date64Scalar: datetime.date(2012, 1, 1)>
"""
return primitive_type(_Type_DATE64)
def float16():
"""
Create half-precision floating point type.
+
+ Examples
+ --------
+ Create an instance of float16 type:
+
+ >>> import pyarrow as pa
+ >>> pa.float16()
+ DataType(halffloat)
+ >>> print(pa.float16())
+ halffloat
"""
Review Comment:
Should we create an array with float16 type, too?
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