Python Pandas - 形成两个 Index 对象的联合，但不对结果进行排序
要形成两个Index对象的交集，请使用Pandas中的index1.intersection(index2)方法。为避免对结果进行排序，请使用sort参数并将其设置为False。
首先，导入所需的库-
import pandas as pd
创建两个Pandas索引-
index1 = pd.Index([10, 20, 30, 40, 50]) index2 = pd.Index([80, 65, 60, 70, 55])
显示Pandasindex1和index2-
print("Pandas Index1...\n",index1)
print("Pandas Index2...\n",index2)执行联合。我们使用了值为'False'的“sort”参数来取消对结果的排序-
res = index1.union(index2, sort=False)
示例
以下是代码-
import pandas as pd
#创建两个Pandas索引
index1 = pd.Index([10, 20, 30, 40, 50])
index2 = pd.Index([80, 65, 60, 70, 55])
#显示Pandasindex1和index2
print("Pandas Index1...\n",index1)
print("Pandas Index2...\n",index2)
#返回Index1和Index2中元素的数量
print("\nNumber of elements in index1...\n",index1.size)
print("\nNumber of elements in index2...\n",index2.size)
#执行联合
# We have used the "sort" parameter to unsort the results
res = index1.union(index2, sort=False)
#两个索引的并集
#结果未排序
print("\nThe index1 and index2 Union with unsorted result...\n",res)输出结果这将产生以下输出-
Pandas Index1... Int64Index([10, 20, 30, 40, 50], dtype='int64') Pandas Index2... Int64Index([80, 65, 60, 70, 55], dtype='int64') Number of elements in index1... 5 Number of elements in index2... 5 The index1 and index2 Union with unsorted result... Int64Index([10, 20, 30, 40, 50, 80, 65, 60, 70, 55], dtype='int64')