Hello, Today is Tuesday, so that's the day I work on porting arrow to R. This week, I've continued some of the work from last week, still following the steps of the python front end as documented here: https://arrow.apache.org/docs/python/data.html#type-metadata <https://arrow.apache.org/docs/python/data.html#type-metadata>
Things are starting to materialize, and I try to give it an R feel. > int32() DataType(int32) > > float64() DataType(double) > > struct( x = int32(), y = float64(), d1 = date32() ) StructType(struct<x: int32, y: double, d1: date32[day]>) > > schema( x = int32(), y = float64(), d1 = date32() ) x: int32 y: double d1: date32[day] This is not that interesting, but it sets a nice premise for the future. Quick ones: - are there examples of uses of pyarrow.union ? - how does pyarrow.array dispatches to the right array type ? And perhaps more generally, how do I know what's inside the function ? >>> pa.array([1, 2, None, 3]) <pyarrow.lib.Int64Array object at 0x10db246d8> [ 1, 2, NA, 3 ] >>> >>> pa.array <function pyarrow.lib.array> Romain
