mars.dataframe.Series.memory_usage#
- Series.memory_usage(index=True, deep=False)#
Return the memory usage of the Series.
The memory usage can optionally include the contribution of the index and of elements of object dtype.
- 参数
- 返回
Bytes of memory consumed.
- 返回类型
参见
numpy.ndarray.nbytes
Total bytes consumed by the elements of the array.
DataFrame.memory_usage
Bytes consumed by a DataFrame.
示例
>>> 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