我只想根据日期范围对ID和给定值进行总计
我尝试过:
class cellview: UITableViewCell {
@IBOutlet weak var programnames: UIButton!
override func awakeFromNib() {
super.awakeFromNib()
// Initialization code
}
override func setSelected(_ selected: Bool, animated: Bool) {
super.setSelected(selected, animated: animated)
// Configure the view for the selected state
}
df:
days=(360)
import datetime
import pandas as pd
group = None
df=pd.read_excel(r'C:\Users\xxxx\Desktop\xxxxx.xlsx')
for i in days:
D = ((datetime.datetime.now()-datetime.timedelta(days=i)))
B = D <= df['DATE']
group = df.groupby('ID')['VALUE'].filter(lambda x: B ).sum()
但是有错误
DATE ID VALUE
2019-01-01 1 10
2019-02-01 2 15
2019-03-01 1 12
即使B的类型也是bool
我需要的结果是:
TypeError: the filter must return a boolean result
答案 0 :(得分:0)
我相信您需要在groupby
之前通过boolean indexing
进行过滤:
group = df[B].groupby('ID')['VALUE'].sum()
或者:
D = ((datetime.datetime.now()-datetime.timedelta(days=i)))
B = df.loc[D <= df['DATE'], 'VALUE']
group = B.groupby(df['ID']).sum()