- Series.memory_usage(index=True, deep=False)¶
Return the memory usage of the Series.
This docstring was copied from pandas.core.series.Series.memory_usage.
Some inconsistencies with the Dask version may exist.
The memory usage can optionally include the contribution of the index and of elements of object dtype.
- indexbool, default True
Specifies whether to include the memory usage of the Series index.
- deepbool, default False
If True, introspect the data deeply by interrogating object dtypes for system-level memory consumption, and include it in the returned value.
Bytes of memory consumed.
>>> s = pd.Series(range(3)) >>> s.memory_usage() 152
Not including the index gives the size of the rest of the data, which is necessarily smaller:
>>> s.memory_usage(index=False) 24
The memory footprint of object values is ignored by default:
>>> s = pd.Series(["a", "b"]) >>> s.values array(['a', 'b'], dtype=object) >>> s.memory_usage() 144 >>> s.memory_usage(deep=True) 244