I have made the following program, I am fetching data from sqlite table and want to create a pandas data frame.
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]
})
I want a clean data frame with size (16, 12), but I am getting enter image description here