When I store pandas objects with a LOT of columns I get the following error message. I haven't yet noticed any problems with memory though. I assume we don't need to care about this error since we always load the complete hdf5 file into memory and don't to any mmap tricks on the hdf5 file.
/home/max/conda/lib/python2.7/site-packages/tables/table.py:1039: PerformanceWarning: table ``/main/table`` is exceeding the recommended maximum number of columns (512); be ready to see PyTables asking for *lots* of memory and possibly slow I/O
PerformanceWarning)
When I store pandas objects with a LOT of columns I get the following error message. I haven't yet noticed any problems with memory though. I assume we don't need to care about this error since we always load the complete hdf5 file into memory and don't to any mmap tricks on the hdf5 file.
Should we just silence this warning as well?