pandas.Series.memory_usage — pandas 0.24.0rc1 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: | index : bool, default True Specifies whether to include the memory usage of the Series index. deep : bool, 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() 104
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() 96 s.memory_usage(deep=True) 212