pandas Series DataFrame 丢弃指定轴上的项(三)
1.0 删除Series项
from pandas import Series,DataFrame
import numpy as np
import pandas as pd
obj=Series(np.arange(5),index=['a','b','c','d','e'])
obj
Out[82]:
a 0
b 1
c 2
d 3
e 4
dtype: int32
new_obj=obj.drop('c')
new_obj
Out[84]:
a 0
b 1
d 3
e 4
dtype: int32
obj=Series(np.arange(5),index=['a','b','c','d','e'])
obj
Out[90]:
a 0
b 1
c 2
d 3
e 4
dtype: int32
obj.drop(['d','c'])
Out[91]:
a 0
b 1
e 4
dtype: int32
2.0 删除DataFrame项
data=DataFrame(np.arange(16).reshape((4,4)),index=['ohio','colorado','utah','new york'],columns=['one','two','three','four'])
data
Out[94]:
one two three four
ohio 0 1 2 3
colorado 4 5 6 7
utah 8 9 10 11
new york 12 13 14 15
删除 colorado 和ohio
data.drop(['colorado','ohio'])
Out[95]:
one two three four
utah 8 9 10 11
new york 12 13 14 15
data.drop('two',axis=1)
Out[98]:
one three four
ohio 0 2 3
colorado 4 6 7
utah 8 10 11
new york 12 14 15
data.drop(['two','four'],axis=1)
Out[100]:
one three
ohio 0 2
colorado 4 6
utah 8 10
new york 12 14
【推荐】国内首个AI IDE,深度理解中文开发场景,立即下载体验Trae
【推荐】编程新体验,更懂你的AI,立即体验豆包MarsCode编程助手
【推荐】抖音旗下AI助手豆包,你的智能百科全书,全免费不限次数
【推荐】轻量又高性能的 SSH 工具 IShell:AI 加持,快人一步
· DeepSeek 开源周回顾「GitHub 热点速览」
· 物流快递公司核心技术能力-地址解析分单基础技术分享
· .NET 10首个预览版发布:重大改进与新特性概览!
· AI与.NET技术实操系列(二):开始使用ML.NET
· .NET10 - 预览版1新功能体验(一)