Series.
memory_usage
Return the memory usage of the Series.
The memory usage can optionally include the contribution of the index and of elements of object dtype.
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 interrogating object dtypes for system-level memory consumption, and include it in the returned value.
Bytes of memory consumed.
int
参见
numpy.ndarray.nbytes
Total bytes consumed by the elements of the array.
DataFrame.memory_usage
Bytes consumed by a DataFrame.
实际案例
>>> import mars.dataframe as md >>> s = md.Series(range(3)) >>> s.memory_usage().execute() 152
Not including the index gives the size of the rest of the data, which is necessarily smaller:
>>> s.memory_usage(index=False).execute() 24
The memory footprint of object values is ignored by default:
>>> s = md.Series(["a", "b"]) >>> s.values.execute() array(['a', 'b'], dtype=object)
>>> s.memory_usage().execute() 144
>>> s.memory_usage(deep=True).execute() 260