如何用Python来处理数据表的长宽转换（图文详
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解决时间 2021-03-16 13:39
- 提问者网友：低吟詩仙的傷
- 2021-03-15 20:38
如何用Python来处理数据表的长宽转换（图文详
最佳答案
- 五星知识达人网友：洎扰庸人
- 2021-03-15 21:25
import pandas as pd
import numpy as np
mydata=pd.DataFrame({"Name":["苹果","谷歌","脸书","亚马逊","腾讯"],"Conpany":["Apple","Google","Facebook","Amozon","Tencent"],"Sale2013":[5000,3500,2300,2100,3100],"Sale2014":[5050,3800,2900,2500,3300],"Sale2015":[5050,3800,2900,2500,3300],"Sale2016":[5050,3800,2900,2500,3300]
})
mydata1=mydata.melt(
id_vars=["Name","Conpany"], #要保留的主字段
var_name="Year", #拉长的分类变量
value_name="Sale" #拉长的度量值名称
)
import numpy as np
mydata=pd.DataFrame({"Name":["苹果","谷歌","脸书","亚马逊","腾讯"],"Conpany":["Apple","Google","Facebook","Amozon","Tencent"],"Sale2013":[5000,3500,2300,2100,3100],"Sale2014":[5050,3800,2900,2500,3300],"Sale2015":[5050,3800,2900,2500,3300],"Sale2016":[5050,3800,2900,2500,3300]
})
mydata1=mydata.melt(
id_vars=["Name","Conpany"], #要保留的主字段
var_name="Year", #拉长的分类变量
value_name="Sale" #拉长的度量值名称
)
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