project s444519

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soybby 2020-05-18 12:01:38 +02:00
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import pandas as pd
import pygame
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import LabelEncoder
from sklearn.tree import DecisionTreeClassifier
from sklearn.metrics import accuracy_score
from sklearn.metrics import confusion_matrix
from pygame.locals import *
import numpy as np
import matplotlib.pyplot as plt
from sklearn import tree
import random
from textpygame import get_key, ask, display_box
#read csv file
dataset= pd.read_csv("veganism.csv")
#show shape of dataset
print(dataset.shape)
#create a new dataset
newdataset = pd.DataFrame(dataset, columns=['ethnicity', 'gender', 'appearence', 'vegan'])
# creating instance of labelencoder
labelencoder = LabelEncoder()
# Assigning numerical values and storing in another column
newdataset['ethnicity_no'] = labelencoder.fit_transform(newdataset['ethnicity'])
newdataset['gender_no']= labelencoder.fit_transform(newdataset['gender'])
newdataset['appearence_no']= labelencoder.fit_transform(newdataset['appearence'])
print(newdataset)
# for x values drop unimportant columns, axis=1 specifies that we want the columns not rows
Y=newdataset['vegan']
X=newdataset.drop(newdataset.columns[0:4], axis=1)
print(X,Y)
#test 14% of the data
X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.15)
classifier = DecisionTreeClassifier()
classifier.fit(X_train, Y_train)
y_pred = classifier.predict(X_test)
#ignores minority groups which results in 0 for prediction. to solve this i have to use smthing else
print(pd.DataFrame(confusion_matrix(Y_test, y_pred),columns=['Predicted not vegan', 'Predicted vegan'], index=['Actually not vegan', 'Actually vegan']))
#accuracy score is high as expected
print(accuracy_score(Y_test, y_pred))
fn=['ethnicity','gender','appearence']
cn=['yes', 'no']
# Setting dpi = 300 to make image clearer than default
fig, axes = plt.subplots(nrows = 1,ncols = 1,figsize = (4,4), dpi=300)
tree.plot_tree(classifier,
feature_names = fn,
class_names=cn,
filled = True);
fig.savefig('imagenamenew.png')
#using the my_grid3 program
# Colors:
# Define some colors
BLACK = (0, 0, 0)
WHITE = (255, 255, 255)
GREEN = (0, 255, 0)
RED = (255, 0, 0)
BLUE = (0, 0, 240)
MAGENTA=(255, 0, 255)
# Width and Height of each square:
WIDTH = 20
HEIGHT = 20
# Margin:
MARGIN = 5
grid = [[0 for x in range(16)] for y in range(16)]
def change_value(i, j, width, n):
for r in range(i, i + width):
for c in range(j, j + width):
grid[r][c] = n
if grid[r][c]==5:
break
class Table:
def __init__(self, coordinate_i, coordinate_j):
self.coordinate_i = coordinate_i
self.coordinate_j = coordinate_j
change_value(coordinate_i, coordinate_j, 2, 1)
class Kitchen:
def __init__(self, coordinate_i, coordinate_j):
self.coordinate_i = coordinate_i
self.coordinate_j = coordinate_j
change_value(coordinate_i, coordinate_j, 3, 2)
class Agent:
def __init__(self, orig_coordinate_i, orig_coordinate_j):
self.orig_coordinate_i = orig_coordinate_i
self.orig_coordinate_j = orig_coordinate_j
self.state = np.array([1, 2])
change_value(orig_coordinate_j, orig_coordinate_j, 1, 3)
self.state_update(orig_coordinate_i, orig_coordinate_j)
def state_update(self, c1, c2):
self.state[0] = c1
self.state[1] = c2
print(self.state)
def leave(self):
change_value(self.state[0], self.state[1], 1, 0)
def move_up(self):
self.leave()
self.state_update(x - 1, y)
change_value(self.state[0], self.state[1], 1, 3)
def move_down(self):
self.leave()
change_value(self.state[0], self.state[1], 1, 0)
self.state_update(x + 1, y)
change_value(self.state[0], self.state[1], 1, 3)
def move_right(self):
self.leave()
self.state_update(x, y + 1)
change_value(self.state[0], self.state[1], 1, 3)
def move_left(self):
self.leave()
self.state_update(x, y - 1)
change_value(self.state[0], self.state[1], 1, 3)
class Customer:
def __init__(self, coordinate_i, coordinate_j):
self.coordinate_i = coordinate_i
self.coordinate_j = coordinate_j
change_value(coordinate_i, coordinate_j,1 , 4)
class CustomerPlace:
def __init__(self, coordinate_i, coordinate_j):
self.coordinate_i = coordinate_i
self.coordinate_j = coordinate_j
change_value(coordinate_i, coordinate_j,1 , 5)
## default positions of the agent:
x = 11
y = 11
agent = Agent(x, y)
table1 = Table(2, 2)
table2 = Table(2, 7)
table3 = Table(2, 12)
table4 = Table(7, 2)
table5 = Table(7, 7)
table6 = Table(7, 12)
table7 = Table(12, 2)
table8 = Table(12, 7)
pygame.init()
# create a font object.
# 1st parameter is the font file
# which is present in pygame.
# 2nd parameter is size of the font
font = pygame.font.Font('freesansbold.ttf', 14)
X = 400
Y = 400
# create a text suface object,
# on which text is drawn on it.
text = font.render('waiter: hello, let me help you with your order.', True, WHITE, BLACK)
userText=font.render('user: ', True, BLUE, BLACK)
# create a rectangular object for the
# text surface object
textRect = text.get_rect()
inputRect = userText.get_rect()
# set the center of the rectangular object.
textRect.center= (200, 340)
inputRect.center=(200,370)
# class Kitchen:
kitchen = Kitchen(13, 13)
x=[2,7,12]
y=[2,7]
random_customer_seat_x=random.choice(x)
random_customer_seat_y=random.choice(y)
print(random_customer_seat_x,random_customer_seat_y)
seat=Customer(random_customer_seat_x,random_customer_seat_y)
next_to=CustomerPlace(random_customer_seat_x,random_customer_seat_y-1)
WINDOW_SIZE = [405, 405]
screen = pygame.display.set_mode(WINDOW_SIZE)
pygame.display.set_caption("Waiter_Grid3")
done = False
print(random_customer_seat_x,random_customer_seat_y-1)
clock = pygame.time.Clock()
#updating the drawing
def updateDraw():
x = agent.state[0]
y = agent.state[1]
screen.fill(BLACK) # Background color
for row in range(16): # Drawing the grid
for column in range(16):
color = WHITE
if grid[row][column] == 1:
color = GREEN
if grid[row][column] == 2:
color = RED
if grid[row][column] == 3:
color = BLUE
if grid[row][column] == 4:
color = MAGENTA
surface = pygame.draw.rect(screen,
color,
[(MARGIN + WIDTH) * column + MARGIN,
(MARGIN + HEIGHT) * row + MARGIN,
WIDTH,
HEIGHT])
def customer():
if x == random_customer_seat_x and y == random_customer_seat_y - 1:
screen.blit(text, textRect)
ethnicity3= ask(screen, question="ethnicity ")
gender3= ask(screen,question="gender ")
appearence3=ask(screen, question="appearence ")
if ethnicity3 == "black":
ethnicity3 = 1
elif ethnicity3 == "asian":
ethnicity3 = 0
else:
ethnicity3 = 2
if gender3 == "male":
gender3 = 0
else:
gender3 = 1
if appearence3 == "hippie":
appearence3= 0
else:
appearence3 = 1
prediction = classifier.predict([[ethnicity3, gender3, appearence3]])
pygame.quit()
if prediction == [0]:
print("You're probably not vegan. Would you like a regular menu?")
else:
print("It seems like youre vegan. Would you like a vegan menu?")
exit()
running=True
# pick a font you have and set its size
text2 = 'this text is editable'
font2 = pygame.font.SysFont(None, 48)
img2 = font.render(text2, True, RED)
rect2 = img2.get_rect()
rect2.topleft = (20, 20)
background = BLACK
# put the label object on the screen at point x=100, y=100
cursor = Rect(rect2.topright, (3, rect2.height))
while running:
x = agent.state[0]
y = agent.state[1]
pygame.time.delay(100)
for event in pygame.event.get(): # Checking for the event
if event.type == pygame.QUIT: # If the program is closed:
done = True # To exit the loop
keys = pygame.key.get_pressed() # Moving the agent:
if keys[pygame.K_LEFT]: # Left:
# Checking if not a table, a kitchen, or a wall:
if y - 1 < 0 or grid[x][y - 1] == 1:
continue
else:
agent.move_left() # If okay, the move
if keys[pygame.K_RIGHT]: # The same procedure with right:
if y + 1 > 15 or grid[x][y + 1] == 1 or grid[x][y + 1] == 2:
continue
else:
agent.move_right()
if keys[pygame.K_UP]: # The same procedure with up:
if x - 1 < 0 or grid[x - 1][y] == 1 or grid[x - 1][y] == 2:
continue
else:
agent.move_up()
if keys[pygame.K_DOWN]: # The same procedure with down
if x + 1 > 15 or grid[x + 1][y] == 1 or grid[x + 1][y] == 2:
continue
else:
agent.move_down()
updateDraw()
customer()
clock.tick(60) # Limit to 60 frames per second
pygame.display.flip() # Updating the screen