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法律研究Python Pandas - 返回完全删除重复值的索引
要返回完全删除重复值的索引，请使用 index.drop_duplicates() 方法。
首先，导入所需库 −
import pandas as pd
创建包含一些重复数据的索引 −
index = pd.Index(['Car','Bike','Airplane','Ship','Airplane'])
显示索引 −
print("Pandas Index with duplicates...\n",index)返回删除了重复值的索引。值为 "False" 的 "keep" 参数将丢弃每组重复项的所有出现 −
print("\nIndex with duplicate values removed (drops all occurrences)...\n",
index.drop_duplicates(keep = False))示例
以下为代码 −
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 bytes in the data
print("\nGet the bytes...\n",index.nbytes)
# get the dimensions of the data
print("\nGet the dimensions...\n",index.ndim)
# Return Index with duplicate values removed
# The "keep" parameter with value "False" drops all occurrences for each set of duplicated entries
print("\nIndex with duplicate values removed (drops all occurrences)...\n",
index.drop_duplicates(keep = False))输出
将生成以下代码 −
Pandas Index with duplicates... Index(['Car', 'Bike', 'Airplane', 'Ship', 'Airplane'], dtype='object') The dtype object... object Get the bytes... 40 Get the dimensions... 1 Index with duplicate values removed (drops all occurrences)... Index(['Car', 'Bike', 'Ship'], dtype='object')
更新于： 13-10-2021
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