# -*- coding: utf-8 -*-

import pandas

data = pandas.read_csv(

'D:\\PDA\\4.18\\data.csv',

encoding='utf8'

)

data['Education Level'].drop_duplicates()

"""

博士后? ? Post-Doc

博士? ? ? Doctorate

碩士? ? ? Master's Degree

學士? ? ? Bachelor's Degree

副學士? ? Associate's Degree

專業院校? Some College

職業學校? Trade School

高中? ? ? High School

小學? ? ? Grade School

"""

educationLevelDict = {

'Post-Doc': 9,

'Doctorate': 8,

'Master\'s Degree': 7,

'Bachelor\'s Degree': 6,

'Associate\'s Degree': 5,

'Some College': 4,

'Trade School': 3,

'High School': 2,

'Grade School': 1

}

data['Education Level Map'] = data[

'Education Level'

].map(

educationLevelDict

)

data['Gender'].drop_duplicates()

dummies = pandas.get_dummies(

data,

columns=['Gender'],

prefix=['Gender'],

prefix_sep="_",

dummy_na=False,

drop_first=False

)

dummies['Gender'] = data['Gender']

總結

以上是生活随笔為你收集整理的python 分类变量转为哑变量_python 虚拟变量的全部內容，希望文章能夠幫你解決所遇到的問題。

如果覺得生活随笔網站內容還不錯，歡迎將生活随笔推薦給好友。