xorbits.pandas.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

  • 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.

返回

Bytes of memory consumed.

返回类型

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

>>> 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

This docstring was copied from pandas.core.series.Series.