/
shravantest.py
394 lines (262 loc) · 10.3 KB
/
shravantest.py
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from tkinter import *
from PIL import Image,ImageTk
import csv
import random
import os
from tkinter import ttk
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib import style
from PyQt5 import QtCore
from PyQt5 import QtWidgets
from PyQt5 import QtGui
import matplotlib.pyplot as plt
#import test
def logdoc(frame,h,w,root,num): #HOME PAGE , LOGIN AS ANALYST
frame.pack_forget()
frame = Frame(root,width=w,height=h)
frame.pack()
load=Image.open("Bank.jpg")
render=ImageTk.PhotoImage(load)
img=Label(frame,image=render)
img.image=render
img.place(x=300,y=0)
wel=Label(frame,text="Enter Your Login Details",font=("Calibri",20,"bold italic"),foreground = "green")
wel.pack()
wel.place(x=485,y=195)
usr=Label(frame,text="Username",font=("Calibri",15))
usr.pack()
usr.place(x=500,y=260)
pas=Label(frame,text="Password",font=("Calibri",15))
pas.pack()
pas.place(x=500,y=310)
entry1=Entry(frame,font=("Calibri",15))
entry1.pack()
entry1.place(x=600,y=260)
entry2=Entry(frame,show='*',font=("Calibri",15))
entry2.pack()
entry2.place(x=600,y=310)
submit=Button(frame, text = 'Submit',font=("Calibri",15),command=lambda:logdoc1(frame,h,w,root,entry1.get(),entry2.get()))
submit.pack()
submit.place(x=730,y=360)
num=0
home=Button(frame, text = 'Back to Home Page',font=("Calibri",15),command=lambda:main(frame,h,w,root))
home.pack()
home.place(x=500,y=360)
if(inc==1):
inc=Label(frame,text="Incorrect Username and Password...Please Try Again",font=("Calibri",12))
inc.pack()
inc.place(x=335,y=452)
def logdoc1(frame,h,w,root,username,password): # SECOND PAGE , LOGIN WINDOW
if(username=='sinhgad' and password=='bank'):
inc=0
logdoc2(frame,h,w,root,inc)
else:
num=1
logdoc(frame,h,w,root,num)
def logdoc2(frame,h,w,root,inc): #EXPLORATORY DATA ANALYSIS AND PREDICTION ANALYSIS
frame.pack_forget()
frame = Frame(root,width=w,height=h)
frame.pack()
load=Image.open("Bank.jpg")
render=ImageTk.PhotoImage(load)
img=Label(frame,image=render)
img.image=render
img.place(x=300,y=0)
EDA=Button(frame, text = 'Exlploratory data analysis',font=("Calibri",15),command=lambda:logdoc3(frame,h,w,root))
EDA.pack()
EDA.place(x=530,y=270)
EXE=Button(frame, text = 'Prediction analysis',font=("Calibri",15),command=lambda:logdoc10(frame,h,w,root))
EXE.pack()
EXE.place(x=530,y=470)
home=Button(frame, text = 'LOGOUT',font=("Calibri",15),command=lambda:logdoc(frame,h,w,root,0))
home.pack()
home.place(x=1100,y=660)
def logdoc3(frame,h,w,root): #INSIDE EXPLORATORY DATA ANALYSIS
frame.pack_forget()
frame = Frame(root,width=w,height=h)
frame.pack()
load=Image.open("Bank.jpg")
render=ImageTk.PhotoImage(load)
img=Label(frame,image=render)
img.image=render
img.place(x=300,y=0)
graph1=Button(frame, text = 'Age',font=("Calibri",15),command=lambda:logdoc4(frame,h,w,root))
graph1.pack()
graph1.place(x=570,y=170)
graph4=Button(frame, text = 'Country',font=("Calibri",15),command=lambda:logdoc5(frame,h,w,root))
graph4.pack()
graph4.place(x=670,y=270)
graph3=Button(frame, text = 'Gender',font=("Calibri",15),command=lambda:logdoc6(frame,h,w,root))
graph3.pack()
graph3.place(x=570,y=370)
graph2=Button(frame, text = 'Has Credit Card',font=("Calibri",15),command=lambda:logdoc7(frame,h,w,root))
graph2.pack()
graph2.place(x=670,y=670)
graph5=Button(frame, text = 'Credit score',font=("Calibri",15),command=lambda:logdoc8(frame,h,w,root))
graph5.pack()
graph5.place(x=570,y=570)
graph6=Button(frame, text = 'Is Active Member',font=("Calibri",15),command=lambda:logdoc9(frame,h,w,root))
graph6.pack()
graph6.place(x=670,y=470)
home=Button(frame, text = 'Back to previous Page',font=("Calibri",15),command=lambda:logdoc2(frame,h,w,root,0))
home.pack()
home.place(x=1100,y=660)
def logdoc4(frame,h,w,root):
os.system('python Graph_Age.py')
def logdoc5(frame,h,w,root):
os.system('python Country.py')
def logdoc6(frame,h,w,root):
os.system('python gender.py')
def logdoc7(frame,h,w,root):
os.system('python Graph_Credit.py')
def logdoc8(frame,h,w,root):
os.system('python graphd4.py')
def logdoc9(frame,h,w,root):
os.system('python Graph_Active.py')
def logdoc10(frame,h,w,root):
frame.pack_forget()
frame = Frame(root,width=w,height=h)
frame.pack()
load=Image.open("Bank.jpg")
render=ImageTk.PhotoImage(load)
img=Label(frame,image=render)
img.image=render
img.place(x=300,y=0)
res=Button(frame, text = 'Start Execution',font=("Calibri",15),command=lambda:logdoc11(frame,h,w,root))
res.pack()
res.place(x=600,y=450)
ana=Button(frame, text = 'Analysis of Neural Network',font=("Calibri",15),command=lambda:logdoc12(frame,h,w,root))
ana.pack()
ana.place(x=600,y=300)
home=Button(frame, text = 'Back to Previous Page',font=("Calibri",15),command=lambda:logdoc2(frame,h,w,root,0))
home.pack()
home.place(x=1100,y=660)
def logdoc12(frame,h,w,root):
frame.pack_forget()
frame = Frame(root,width=w,height=h)
frame.pack()
load=Image.open("Bank.jpg")
render=ImageTk.PhotoImage(load)
img=Label(frame,image=render)
img.image=render
img.place(x=300,y=0)
hid=Button(frame, text = 'Fluctuate hidden layers',font=("helvetica",15),command=lambda:logdoc13(frame,h,w,root))
hid.pack()
hid.place(x=50,y=360)
epo=Button(frame, text = 'Fluctuate epochs',font=("Calibri",15),command=lambda:logdoc14(frame,h,w,root))
epo.pack()
epo.place(x=570,y=360)
neu=Button(frame, text = 'Fluctuate neurons',font=("Calibri",15),command=lambda:logdoc15(frame,h,w,root))
neu.pack()
neu.place(x=1100,y=360)
home=Button(frame, text = 'Back to Previous Page',font=("Calibri",15),command=lambda:logdoc10(frame,h,w,root))
home.pack()
home.place(x=1100,y=660)
def logdoc13(frame,h,w,root):
os.system('python temp3.py')
def logdoc14(frame,h,w,root):
os.system('python temp4.py ')
def logdoc15(frame,h,w,root):
os.system('python temp2.py')
'''def logdoc11(frame,h,w,root):
frame.pack_forget()
frame = Frame(root,width=w,height=h)
frame.pack()
load=Image.open("8.png")
render=ImageTk.PhotoImage(load)
img=Label(frame,image=render)
img.image=render
img.place(x=300,y=0)
os.system('python test.py')
label = Label(frame,text = test.accuracy,font=("Calibri",15))
label.pack()
label.place(x=550,y=330)
home=Button(frame, text = 'Back to Home Page',font=("Calibri",15),command=lambda:logdoc12(frame,h,w,root))
home.pack()
home.place(x=1100,y=660)
'''
#code start here
root = Tk()
w, h = root.winfo_screenwidth(), root.winfo_screenheight()
root.geometry("%dx%d+0+0" % (w, h))
frame = Frame(root,width=w,height=h)
frame.pack()
def main(frame,h,w,root):
frame.pack_forget()
frame = Frame(root,width=w,height=h)
frame.pack()
load=Image.open("Bank.jpg")
render=ImageTk.PhotoImage(load)
img=Label(frame,image=render)
img.image=render
img.place(x=300,y=0)
num=0
doctor=Button(frame, text = 'Login As Analyst',bg="grey",font=("Corbert",15),command=lambda:logdoc(frame,h,w,root,num))
doctor.pack()
doctor.place(x=602,y=470)
#cpatient=Button(frame, text = 'Analysis',font=("Calibri",15),command=lambda:analysis(frame,h,w,root,num))
#cpatient.pack()
#cpatient.place(x=550,y=360)#
root.mainloop()
def logdoc11(frame,h,w,root):
frame.pack_forget()
frame = Frame(root,width=w,height=h)
frame.pack()
load=Image.open("Bank.jpg")
render=ImageTk.PhotoImage(load)
img=Label(frame,image=render)
img.image=render
img.place(x=300,y=0)
import test
label = Label(frame,text = "Confusion Matrix: "+str(test.cm),font=("Calibri",15))
label = Label(frame,text = "The accuracy of this model in classsifying the customer is "+str(test.accuracy*100),font=("Calibri",15))
label.pack()
label.place(x=360,y=200)
#label = Label(frame,text = str(test.y_pred),font=("Calibri",15))
#label.pack()
#label.place(x=550,y=550)
class PandasModel(QtCore.QAbstractTableModel):
def __init__(self, data, parent=None):
QtCore.QAbstractTableModel.__init__(self, parent)
self._data = data
def rowCount(self, parent=None):
return len(self._data.values)
def columnCount(self, parent=None):
return self._data.columns.size
def data(self, index, role=QtCore.Qt.DisplayRole):
if index.isValid():
if role == QtCore.Qt.DisplayRole:
if(index.column() != 0):
return str('%.2f'%self._data.values[index.row()][index.column()])
else:
return str(self._data.values[index.row()][index.column()])
return None
def headerData(self, section, orientation, role):
if orientation == QtCore.Qt.Horizontal and role == QtCore.Qt.DisplayRole:
return self._data.columns[section]
elif orientation == QtCore.Qt.Vertical and role == QtCore.Qt.DisplayRole:
return str(self._data.index[section])
return None
def flags(self, index):
flags = super(self.__class__,self).flags(index)
flags |= QtCore.Qt.ItemIsSelectable
flags |= QtCore.Qt.ItemIsEnabled
return flags
import pandas as pd
import numpy as np
x=test.compare(test.X_testmod,test.y_predmod)
df = pd.DataFrame(x)
del df['Row_number']
app = QtWidgets.QApplication([])
table = QtWidgets.QTableView()
mymodel = PandasModel(df)
table.setModel(mymodel)
table.show()
app.exec_()
home=Button(frame, text = 'Back to Previous Page',font=("Calibri",15),command=lambda:logdoc10(frame,h,w,root))
home.pack()
home.place(x=1100,y=660)
test.drawAccuracy()
if __name__=="__main__":
main(frame,h,w,root)