pandas列分割-添加单位-删除单位

列分割

data = {'地区':['中国','巴西'],'变电站':['变电站-A','变电站-B']}
df = pd.DataFrame(data,index=['A','B'])


# 原生方法
data2 = [x.split('-') for x in df['变电站']]
df2 = pd.DataFrame(data2,index=df.index,columns=['变电站','标志'])
# df2 = pd.DataFrame((x.split('-') for x in df['变电站']),index=df.index,columns=['变电站','标志'])  

# 自带方法
df3 = df['变电站'].str.split('-',expand=True)

# df3 = df['变电站'].str.split('-',expand=True)[1]  分割后只想要第二个

df3.columns = ['变电站','标志']

添加单位

import pandas as pd
import numpy as np


data = {'地区':['河南','安徽'],'产量':['2000','1200']}
df = pd.DataFrame(data,index=['A','B'])
df['产量'] = df['产量'] + '吨'

删除单位

import pandas as pd
import numpy as np


data = {'地区':['河南','安徽'],'产量':['2000吨','1200吨']}
df = pd.DataFrame(data,index=['A','B'])
df['产量'] = df['产量'].str[:-1]

还可以lambda方法

df["Percent Growth"] = df["Percent Growth"].apply(lambda x: x.replace("%","")).astype("float")/100

 参考文章：https://www.jianshu.com/p/4a2ecf65e3ea