Python Pandas - 指示除首次出現之外的重複索引值
若要指示除首次出現之外的重複索引值,請使用 index.duplicated(). 將 keep 引數與值 first 一起使用。
首先,匯入需要的庫 −
import pandas as pd
建立一個帶有重複項的索引 −
index = pd.Index(['Car','Bike','Airplane','Ship','Airplane'])
顯示索引 −
print("Pandas Index with duplicates...\n",index)指示重複的索引值為 True,首個出現的值除外。將“keep”引數設定為“first” −
print("\nIndicating duplicate values except the first occurrence...\n", index.duplicated(keep='first'))示例
以下是程式碼 −
import pandas as pd
# Creating the index with some duplicates
index = pd.Index(['Car','Bike','Airplane','Ship','Airplane'])
# Display the index
print("Pandas Index with duplicates...\n",index)
# Return the dtype of the data
print("\nThe dtype object...\n",index.dtype)
# get the dimensions of the data
print("\nGet the dimensions...\n",index.ndim)
# Indicate duplicate index values as True, except the first occurrence
# Set the "keep" parameter as "first"
print("\nIndicating duplicate values except the first occurrence...\n", index.duplicated(keep='first'))輸出
將生成以下程式碼 −
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]
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