pandas.Series.memory_usage — pandas 2.2.3 documentation (original) (raw)

Series.memory_usage(index=True, deep=False)[source]#

Return the memory usage of the Series.

The memory usage can optionally include the contribution of the index and of elements of object dtype.

Parameters:

indexbool, default True

Specifies whether to include the memory usage of the Series index.

deepbool, default False

If True, introspect the data deeply by interrogatingobject dtypes for system-level memory consumption, and include it in the returned value.

Returns:

int

Bytes of memory consumed.

Examples

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