要返回索引中最小值的 int 位置,请使用方法。index.argmin()
首先,导入所需的库 -
import pandas as pd
创建索引 -
index = pd.Index([15, 25, 55, 10, 100, 70, 35, 40, 55])
显示索引 -
print("Pandas Index...\n",index)
获取索引中最小值的 int 位置 -
print("\nGet the int position of the smallest value in the Index...\n",index.argmin())
以下是代码 -
import pandas as pd # 创建索引 index = pd.Index([15, 25, 55, 10, 100, 70, 35, 40, 55]) # 显示索引 print("Pandas Index...\n",index) # 返回基础数据形状的元组 print("\nA tuple of the shape of underlying data...\n",index.shape) # 返回索引中的元素数 print("\nNumber of elements in the index...\n",index.size) # Index中最小值的int位置 print("\nGet the int position of the smallest value in the Index...\n",index.argmin())输出结果
这将产生以下代码 -
Pandas Index... Int64Index([15, 25, 55, 10, 100, 70, 35, 40, 55], dtype='int64') A tuple of the shape of underlying data... (9,) Number of elements in the index... 9 Get the int position of the smallest value in the Index... 3