小编San*_*eev的帖子

这显然很简单,但作为一只熊猫,我会陷入困境.

我有一个包含3列的CSV文件,State,bene_1_count和bene_2_count.

我想计算给定状态下'bene_1_count'和'bene_2_count'的比例.

df = pd.DataFrame({'state': ['CA', 'WA', 'CO', 'AZ'] * 3,
           'bene_1_count': [np.random.randint(10000, 99999)
                     for _ in range(12)],
           'bene_2_count': [np.random.randint(10000, 99999)
                     for _ in range(12)]})

我正在尝试以下内容,但它给了我一个错误:'没有连接的对象'

df['ratio'] = df.groupby(['state']).agg(df['bene_1_count']/df['bene_2_count'])

我无法弄清楚如何"达到"群组的状态级别来获取列的比率.

我希望列的比例与状态相似,就像我想要的输出如下:

    State       ratio

    CA  
    WA  
    CO  
    AZ  

我制作了以下程序，我正在从 sqlite 表中获取数据并想创建一个 Pandas 数据框。

import sqlite3 as lite
import pandas as pd
con=lite.connect('/Users/mac/Desktop/Python/Baye_stat/productiondisruption/PCI_meat.sqlite')
cur=con.cursor()

cur.execute("SELECT * from InmateLostHours")

losthours = cur.fetchall()
k=len(losthours)-1
jan=[]
feb=[]
march=[]
april=[]
may=[]
june=[]
july=[]
aug=[] 
sept=[]
october=[]
nov=[]
dec=[]
for i in range(0,k):
  may.append((losthours[i][3])/(losthours[i][15]))
  june.append((losthours[i][4])/(losthours[i][15]))
  july.append((losthours[i][5])/(losthours[i][15]))
  aug.append((losthours[i][6])/(losthours[i][15]))
  sept.append((losthours[i][7])/(losthours[i][15]))
  october.append((losthours[i][8])/(losthours[i][15]))
  nov.append((losthours[i][9])/(losthours[i][15]))
  dec.append((losthours[i][10])/(losthours[i][15]))
  jan.append((losthours[i][11])/(losthours[i][15]))
  feb.append((losthours[i][12])/(losthours[i][15]))
  march.append((losthours[i][13])/(losthours[i][15]))
  april.append((losthours[i][14])/(losthours[i][15]))

institutionhours=pd.DataFrame({
            'May' :[may],
            'June':[june],
            'July':[july],
            'August':[aug],
            'September':[sept],
            'October':[october],
            'November':[nov],
            'December':[dec],
            'January':[jan],
            'Feburary':[feb],
            'March':[march],
            'April':[april]
            })

我想要一个大小为 (16, 12) 的干净数据框，但我在此处输入图像描述