Python Pandas - 指示除第一次出现之外的重复索引值
要指示除第一次出现之外的重复索引值，请使用.首先使用带有值的keep参数。index.duplicated()
首先，导入所需的库-
import pandas as pd
创建具有一些重复项的索引-
index = pd.Index(['Car','Bike','Airplane','Ship','Airplane'])
显示索引-
print("Pandas Index with duplicates...\n",index)将重复的索引值指示为True，但第一次出现除外。将“keep”参数设置为“first”-
print("\nIndicating duplicate values except the first occurrence...\n", index.duplicated(keep='first'))示例
以下是代码-
import pandas as pd
#Creatingtheindexwithsomeduplicates
index = pd.Index(['Car','Bike','Airplane','Ship','Airplane'])
#Displaytheindex
print("Pandas Index with duplicates...\n",index)
#Returnthedtypeofthedata
print("\nThe dtype object...\n",index.dtype)
#getthedimensionsofthedata
print("\nGet the dimensions...\n",index.ndim)
#IndicateduplicateindexvaluesasTrue,exceptthefirstoccurrence
# Set the "keep" 参数为 "first"
print("\nIndicating duplicate values except the first occurrence...\n", index.duplicated(keep='first'))输出结果这将产生以下代码-
Pandas Index with duplicates... Index(['Car', 'Bike', 'Airplane', 'Ship', 'Airplane'], dtype='object') The dtype object... object Get the dimensions... 1 Indicating duplicate values except the first occurrence... [False False False False True]