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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