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It supports multi-dimensional data (tensors) whereas pandas only supports single tables.
Images can for instance be stored more easily.
It seems possible to convert back and forth between xarray and pandas. What I don't know is how extensive this is. Can it 'flatten' tensors and store it as vectors and vice versa?
If so, maybe this is an easy extension. If not, this may require updates to the backend as well.
I just wanted to start some discussin about this :)
Thanks!
The text was updated successfully, but these errors were encountered:
For reference, the xarray to/from dataframe methods are documented here. My initial response would be that it provides little to no benefit without as long as our datasets are ultimately flat arff tables with no meta-data to convert them to tensors? Very interested to see some of Matthias' questions answered.
I heard from a growing number of people that it would be good to support xarray:
http://xarray.pydata.org/en/stable/
It supports multi-dimensional data (tensors) whereas pandas only supports single tables.
Images can for instance be stored more easily.
It seems possible to convert back and forth between xarray and pandas. What I don't know is how extensive this is. Can it 'flatten' tensors and store it as vectors and vice versa?
If so, maybe this is an easy extension. If not, this may require updates to the backend as well.
I just wanted to start some discussin about this :)
Thanks!
The text was updated successfully, but these errors were encountered: