fixed row/col orientation for 2D arrays
Pytables uses the opposite convention to pandas for row/col. Using the numpy transpose .T corrects for this without copying the data and keeping the orientation of 1D arrays intact.

Is solution for https://github.com/pydata/pandas/issues/1824
 my apologies, it appears I was a little premature with this pull request as the files it writes can't be read again. Should I close this request or edit it in-place as/when the problem is resolved?
 earlier problems are fixed by adding a new _v_attr signalling the transpose has been applied. It's not that pretty, but it's logical and appears to work.
 Thanks. I think the `_v_attr` hack also will make it so legacy files can be read
 Yes it should do, because it defaults to false if it's not found.
