[Pandas-dev] Dataframe memory info printing
Jeff Reback
jeffreback at gmail.com
Tue Sep 23 15:55:16 CEST 2014
For the 0.15.0 release of pandas (coming 2nd week of oct), we are going to
include memory info printing:
see here: https://github.com/pydata/pandas/pull/7619
This will be controllable by an option display.memory_usage.
My question to the community should this be by default True, e.g. show the
memory usage (this only applies to using df.info())
There is really no performance impact here.
Pls let us know!
thanks
Jeff
>>> df.info(memory_usage=True)<class 'pandas.core.frame.DataFrame'>Int64Index: 10000000 entries, 0 to 9999999Data columns (total 5 columns):date datetime64[ns]float float64int int64smallint int16string objectdtypes: datetime64[ns](1), float64(1), int16(1), int64(1), object(1)memory usage: 324.2 MB
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