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Investigate warning generated by random_states_s.to_hdf(self._hdf_file(), 'random_states') in __init__():
The warning is:
/usr/local/lib/python3.6/site-packages/pandas/core/generic.py:1996 PerformanceWarning:
your performance may suffer as PyTables will pickle object types that it cannot
map directly to c-types [inferred_type->mixed,key->values] [items->None]
Speed up convert_checkpoints by using MakeDataFrame to build aggregate_states_df.
Have hdf use disk more efficiently; for unknown reasons, in one example hdf uses 4.4M to store the data in 52 pickle files of 8K each, more than 10x less efficient than pickle.
The text was updated successfully, but these errors were encountered:
(Includes unfinished parts of #70.)
random_states_s.to_hdf(self._hdf_file(), 'random_states')
in__init__()
:The warning is:
Speed up
convert_checkpoints
by usingMakeDataFrame
to buildaggregate_states_df
.Have
hdf
use disk more efficiently; for unknown reasons, in one example hdf uses 4.4M to store the data in 52pickle
files of 8K each, more than 10x less efficient thanpickle
.The text was updated successfully, but these errors were encountered: