Python Pandas - 返回索引值的内存使用情况
要返回索引值的内存使用情况，请使用Pandas中的方法。index.memory_usage()
首先，导入所需的库-
import pandas as pd
创建索引-
index = pd.Index([15, 25, 35, 45, 55])
显示索引-
print("Pandas Index...\n",index)获取值的内存使用情况-
print("\nThe memory usage...\n",index.memory_usage())示例
以下是代码-
import pandas as pd
#创建索引
index = pd.Index([15, 25, 35, 45, 55])
#显示索引
print("Pandas Index...\n",index)
#返回索引中的元素数
print("\nNumber of elements in the index...\n",index.size)
#返回基础数据形状的元组
print("\nA tuple of the shape of underlying data...\n",index.shape)
#获取数据中的字节
print("\nReturn the bytes...\n",index.nbytes)
#获取数据的维度
print("\nReturn the dimensions...\n",index.ndim)
#获取值的内存使用情况
print("\nThe memory usage...\n",index.memory_usage())输出结果这将产生以下代码-
Pandas Index... Int64Index([15, 25, 35, 45, 55], dtype='int64') Number of elements in the index... 5 A tuple of the shape of underlying data... (5,) Return the bytes... 40 Return the dimensions... 1 The memory usage... 40