On Thursday, 19 November 2015 at 22:14:01 UTC, ZombineDev wrote:
On Thursday, 19 November 2015 at 06:33:06 UTC, Jay Norwood
wrote:
On Wednesday, 18 November 2015 at 22:46:01 UTC, jmh530 wrote:
My sense is that any data frame implementation should try to
build on the work that's being done with n-dimensional slices.
I've been watching that development, but I don't have a feel
for where it could be applied in this case, since it appears
to be focused on multi-dimensional slices of the same data
type, slicing up a single range.
The dataframes often consist of different data types by column.
How did you see the nd slices being used?
Maybe the nd slices could be applied if you considered each
row to be the same structure, and slice by rows rather than
operating on columns. Pandas supports a multi-dimension panel.
Maybe this would be the application for nd slices by row.
How about using a nd slice of Variant(s), or a more specialized
type Algebraic type?
[1]: http://dlang.org/phobos/std_variant
Not sure it is a great idea to use a variant as the basic option
when very often you will know that every cell in a particular
column will be of the same type.
