Merge pull request 'Algorytm_genetyczny' (#3) from Algorytm_genetyczny into master

Reviewed-on: s481865/Male_zoo#3

.idea/misc.xml

@@ -3,5 +3,5 @@
   <component name="Black">
     <option name="sdkName" value="Python 3.9" />
   </component>
-  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.9" project-jdk-type="Python SDK" />
+  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.10 (pythonProject)" project-jdk-type="Python SDK" />
 </project>

.idea/sztuczna.iml

@@ -1,8 +1,10 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <module type="PYTHON_MODULE" version="4">
   <component name="NewModuleRootManager">
-    <content url="file://$MODULE_DIR$" />
-    <orderEntry type="inheritedJdk" />
+    <content url="file://$MODULE_DIR$">
+      <excludeFolder url="file://$MODULE_DIR$/.venv" />
+    </content>
+    <orderEntry type="jdk" jdkName="Python 3.10 (pythonProject)" jdkType="Python SDK" />
     <orderEntry type="sourceFolder" forTests="false" />
   </component>
 </module>

.idea/vcs.xml

@@ -0,0 +1,6 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="VcsDirectoryMappings">
+    <mapping directory="" vcs="Git" />
+  </component>
+</project>

Animals/animal.py

@@ -1,17 +1,31 @@
+import random
 import pygame
 from abc import abstractmethod
 
 class Animal:
-    def __init__(self, x, y,name, image, food_image, food, environment, adult=False,):
+
+    def choose_picture(self, name):
+        ran = random.randint(0, 1)
+        if ran == 0:
+            path = f'images/{name}.png'
+            return path
+        else:
+            path = f'images/{name}2.png'
+            return path
+
+    def __init__(self, x, y,name, image_path, food_image, food, environment, activity, ill=False, adult=False,):
         self.x = x - 1
         self.y = y - 1
         self.name = name
-        self.image = image
+        self.image_path = image_path
+        self.image = pygame.image.load(image_path)
         self.adult = adult
         self.food = food
         self.food_image = food_image
         self._feed = 0
-        self.environment = environment #hot/cold/medium
+        self.environment = environment  # hot/cold/medium
+        self.activity = activity    # diurnal/nocturnal
+        self.ill = ill
 
     def draw(self, screen, grid_size):
         if self.adult:
@@ -30,9 +44,9 @@ class Animal:
         exclamation_image = pygame.transform.scale(exclamation_image, (int(grid_size * 0.45), int(grid_size * 0.45)))
         screen.blit(exclamation_image, (x * grid_size, y * grid_size))
 
-    def draw_food(self, screen, grid_size, x, y):
+    def draw_food(self, screen, grid_size, x, y,food_image):
         scale = 0.45
-        food_image = pygame.image.load(self.food_image)
+        food_image = pygame.image.load(food_image)
 
         if(self.adult):
             y = y + 1
@@ -40,9 +54,32 @@ class Animal:
         food_image = pygame.transform.scale(food_image, (int(grid_size * scale), int(grid_size * scale)))
         screen.blit(food_image, (x * grid_size, (y + 1) * grid_size - int(grid_size * scale)))
 
-    @abstractmethod
-    def feed(self):
-        pass
+    def is_ill(self):
+        chance = random.randint(1, 100)
+        if chance >= 90:
+            return True
+        else: return False
+
+    def draw_illness(self, screen, grid_size, x, y):
+        scale = 0.45
+        illness_image = pygame.image.load('images/ill.png')
+        y = y
+
+        if self.adult:
+            x = x + 1
+            y = y
+            scale = 0.7
+
+        x_blit = x * grid_size + (grid_size - int(grid_size * scale))
+        illness_image = pygame.transform.scale(illness_image, (int(grid_size * scale), int(grid_size * scale)))
+        screen.blit(illness_image, (x_blit, y * grid_size))
+
+    def draw_snack(self, screen, grid_size, x, y):
+        exclamation_image = pygame.image.load(self.food_image)
+        exclamation_image = pygame.transform.scale(exclamation_image, (int(grid_size * 0.45), int(grid_size * 0.45)))
+        screen.blit(exclamation_image, (x * grid_size, y * grid_size))
+        pygame.display.update()
+        pygame.time.wait(700)
 
     @abstractmethod
     def getting_hungry(self):

Animals/animals.py

@@ -3,6 +3,8 @@ from giraffe import Giraffe
 from penguin import Penguin
 from parrot import Parrot
 from bear import Bear
+from owl import Owl
+from bat import Bat
 
 def create_animals():
     giraffe1 = Giraffe(0, 0, adult=True)
@@ -26,22 +28,35 @@ def create_animals():
     elephant5 = Elephant(0, 0)
     parrot1 = Parrot(0, 0)
     parrot2 = Parrot(0, 0)
-    parrot3 = Parrot(0, 0)
-    parrot4 = Parrot(0, 0)
-    parrot5 = Parrot(0, 0)
+    owl1 = Owl(0, 0)
+    owl2 = Owl(0, 0)
+    bat1 = Bat(0, 0)
+    bat2 = Bat(0, 0)
 
     Animals =  [giraffe1, giraffe2, giraffe3, giraffe4, giraffe5,
                 bear1, bear2, bear3, bear4, bear5,
                 elephant1, elephant2, elephant3, elephant4, elephant5,
                 penguin1, penguin2, penguin3, penguin4,
-                parrot1, parrot2, parrot3, parrot4, parrot5]
+                parrot1, parrot2, owl1, owl2, bat1, bat2]
 
     return Animals
 
 def draw_Animals(Animals, const):
     for Animal in Animals:
         Animal.draw(const.screen, const.GRID_SIZE)
-        if Animal.feed() == 'True':
-           Animal.draw_exclamation(const.screen, const.GRID_SIZE, Animal.x, Animal.y)
-        else: 
-            Animal.draw_food(const.screen,const.GRID_SIZE,Animal.x,Animal.y)
+        
+        hunger_level = Animal.getting_hungry(const)
+
+        if hunger_level >= 9:
+            food_image = 'images/empty_bowl.png'
+        elif hunger_level >= 8:
+            food_image = 'images/almost_empty.png'
+        elif hunger_level >= 5:
+            food_image = 'images/half_bowl.png'
+        else:
+            food_image = 'images/full_bowl.png'
+
+        Animal.draw_food(const.screen, const.GRID_SIZE, Animal.x, Animal.y, food_image)
+
+        if Animal.ill:
+            Animal.draw_illness(const.screen, const.GRID_SIZE, Animal.x, Animal.y)

Animals/bat.py

@@ -0,0 +1,26 @@
+from animal import Animal
+import pygame
+from datetime import datetime
+
+class Bat(Animal):
+    def __init__(self, x, y, adult=False):
+        name = 'bat'
+        image_path = self.choose_picture(name)
+        environment = "medium"
+        food_image = 'images/grains.png'
+        parrot_food = 'grains'
+        activity = 'nocturnal'
+        super().__init__(x, y,name, image_path, food_image,parrot_food, environment, adult)
+        self._starttime = datetime.now()
+
+    def getting_hungry(self, const):
+        checktime = datetime.now()
+        delta = checktime - self._starttime
+        minutes_passed = delta.total_seconds() / (25)
+        self._starttime = checktime
+
+        if const.IS_NIGHT and self._feed < 10:
+            self._feed += minutes_passed
+            self._feed = min(self._feed, 10)
+
+        return self._feed

Animals/bear.py

@@ -4,27 +4,24 @@ from datetime import datetime
 
 class Bear(Animal):
     def __init__(self, x, y, adult=False):
-        Bear_image = pygame.image.load('images/bear.png')
         name = 'bear'
+        image_path = self.choose_picture(name)
         environment = "cold"
+        activity = 'nocturnal'
+        ill = self.is_ill()
         bear_food = 'meat'
         food_image = 'images/meat.png'
-        super().__init__(x, y,name, Bear_image, food_image,bear_food,environment, adult)
+        super().__init__(x, y,name, image_path, food_image,bear_food,environment, activity, ill, adult)
         self._starttime = datetime.now()
 
-         
-
-    def feed(self):
-        self.getting_hungry()
-        if self._feed < 2:
-            return 'False'
-        else:
-            return 'True'
+    def getting_hungry(self, const):
         
-
-    def getting_hungry(self):
         checktime = datetime.now()
         delta = checktime - self._starttime
-        minutes_passed = delta.total_seconds() / 60
-        self._feed += minutes_passed
-        self._starttime = checktime
+        minutes_passed = delta.total_seconds() / (45)
+        self._starttime = checktime
+
+        if const.IS_NIGHT and self._feed < 10 and const.season != "winter":
+            self._feed += minutes_passed
+            self._feed = min(self._feed, 10)
+        return self._feed

Animals/elephant.py

@@ -2,13 +2,13 @@ from animal import Animal
 import pygame
 from datetime import datetime
 
-
-
 class Elephant(Animal):
     def __init__(self, x, y, adult=False):
-        Elephant_image = pygame.image.load('images/elephant.png')
         name = 'elephant'
+        image_path = self.choose_picture(name)
         environment = "hot"
+        activity = 'diurnal'
+        ill = self.is_ill()
         if adult:
             elephant_food = 'leavs'
             food_image = 'images/leaves.png'
@@ -16,22 +16,16 @@ class Elephant(Animal):
             elephant_food = 'milk'
             food_image = 'images/milk.png'
         
-        super().__init__(x, y,name, Elephant_image, food_image,elephant_food, environment, adult)
+        super().__init__(x, y,name, image_path, food_image,elephant_food, environment, activity, ill, adult)
         self._starttime = datetime.now()
-
-         
-
-    def feed(self):
-        self.getting_hungry()
-        if self._feed < 0.3:
-            return 'False'
-        else:
-            return 'True'
-        
-
-    def getting_hungry(self):
+ 
+    def getting_hungry(self, const):
         checktime = datetime.now()
         delta = checktime - self._starttime
-        minutes_passed = delta.total_seconds() / 60
-        self._feed += minutes_passed
-        self._starttime = checktime
+        minutes_passed = delta.total_seconds() / (90)
+        self._starttime = checktime
+
+        if not const.IS_NIGHT and self._feed < 10:
+            self._feed += minutes_passed
+            self._feed = min(self._feed, 10)
+        return self._feed

Animals/giraffe.py

@@ -2,31 +2,25 @@ from animal import Animal
 import pygame
 from datetime import datetime
 
-
-
 class Giraffe(Animal):
     def __init__(self, x, y, adult=False):
-        Giraffe_image = pygame.image.load('images/giraffe.png')
         name = 'giraffe'
+        image_path = self.choose_picture(name)
         environment = "hot"
+        activity = 'diurnal'
+        ill = self.is_ill()
         food_image = 'images/leaves.png'
         giraffe_food = 'leaves'
-        super().__init__(x, y,name, Giraffe_image, food_image,giraffe_food, environment, adult)
+        super().__init__(x, y, name, image_path, food_image,giraffe_food, environment, activity, ill, adult)
         self._starttime = datetime.now()
 
-         
-
-    def feed(self):
-        self.getting_hungry()
-        if self._feed < 0.8:
-            return 'False'
-        else:
-            return 'True'
-        
-
-    def getting_hungry(self):
+    def getting_hungry(self, const):
         checktime = datetime.now()
         delta = checktime - self._starttime
-        minutes_passed = delta.total_seconds() / 60
-        self._feed += minutes_passed
-        self._starttime = checktime
+        minutes_passed = delta.total_seconds() / (60)
+        self._starttime = checktime
+
+        if not const.IS_NIGHT and self._feed < 10:
+            self._feed += minutes_passed
+            self._feed = min(self._feed, 10)
+        return self._feed

Animals/owl.py

@@ -0,0 +1,26 @@
+from animal import Animal
+import pygame
+from datetime import datetime
+
+class Owl(Animal):
+    def __init__(self, x, y, adult=False):
+        name = 'owl'
+        image_path = self.choose_picture(name)
+        environment = "medium"
+        food_image = 'images/grains.png'
+        parrot_food = 'grains'
+        activity = 'nocturnal'
+        super().__init__(x, y,name, image_path, food_image,parrot_food, environment, adult)
+        self._starttime = datetime.now()
+
+    def getting_hungry(self, const):
+        checktime = datetime.now()
+        delta = checktime - self._starttime
+        minutes_passed = delta.total_seconds() / (50)
+        self._starttime = checktime
+
+        if const.IS_NIGHT and self._feed < 10:
+            self._feed += minutes_passed
+            self._feed = min(self._feed, 10)
+
+        return self._feed

Animals/parrot.py

@@ -2,31 +2,25 @@ from animal import Animal
 import pygame
 from datetime import datetime
 
-
-
 class Parrot(Animal):
     def __init__(self, x, y, adult=False):
-        Parrot_image = pygame.image.load('images/parrot.png')
         name = 'parrot'
+        image_path = self.choose_picture(name)
         environment = "medium"
+        activity = 'diurnal'
+        ill = self.is_ill()
         food_image = 'images/grains.png'
         parrot_food = 'grains'
-        super().__init__(x, y,name, Parrot_image, food_image,parrot_food, environment, adult)
+        super().__init__(x, y, name, image_path, food_image, parrot_food, environment, activity, ill, adult)
         self._starttime = datetime.now()
 
-         
-
-    def feed(self):
-        self.getting_hungry()
-        if self._feed < 1.5:
-            return 'False'
-        else:
-            return 'True'
-        
-
-    def getting_hungry(self):
+    def getting_hungry(self, const):
         checktime = datetime.now()
         delta = checktime - self._starttime
-        minutes_passed = delta.total_seconds() / 60
-        self._feed += minutes_passed
-        self._starttime = checktime
+        minutes_passed = delta.total_seconds() / (30)
+        self._starttime = checktime
+
+        if not const.IS_NIGHT and self._feed < 10:
+            self._feed += minutes_passed
+            self._feed = min(self._feed, 10)
+        return self._feed

Animals/penguin.py

@@ -2,31 +2,25 @@ from animal import Animal
 import pygame
 from datetime import datetime
 
-
-
 class Penguin(Animal):
     def __init__(self, x, y, adult=False):
-        Penguin_image = pygame.image.load('images/penguin.png')
         name = 'penguin'
+        image_path = self.choose_picture(name)
         environment = "cold"
+        activity = 'diurnal'
+        ill = self.is_ill()
         food_image = 'images/fish.png'
         penguin_food = 'fish'
-        super().__init__(x, y,name, Penguin_image, food_image,penguin_food,environment, adult)
+        super().__init__(x, y, name, image_path, food_image, penguin_food, environment, activity, ill, adult)
         self._starttime = datetime.now()
 
-         
-
-    def feed(self):
-        self.getting_hungry()
-        if self._feed < 2:
-            return 'False'
-        else:
-            return 'True'
-        
-
-    def getting_hungry(self):
+    def getting_hungry(self, const):
         checktime = datetime.now()
         delta = checktime - self._starttime
-        minutes_passed = delta.total_seconds() / 60
-        self._feed += minutes_passed
-        self._starttime = checktime
+        minutes_passed = delta.total_seconds() / (25)
+        self._starttime = checktime
+
+        if not const.IS_NIGHT and self._feed < 10:
+            self._feed += minutes_passed
+            self._feed = min(self._feed, 10)
+        return self._feed

agent.py

@@ -1,6 +1,23 @@
 import pygame
+import random
+from constants import Constants
 from state_space_search import is_border, is_obstacle
+from night import draw_night
+from decision_tree import feed_decision
+from constants import Constants
+from classification import AnimalClassifier
 
+const = Constants()
+
+classes = [
+    "bat",
+    "bear",
+    "elephant",
+    "giraffe",
+    "owl",
+    "parrot",
+    "penguin"
+]
 class Agent:
     def __init__(self, istate, image_path, grid_size):
         self.istate = istate
@@ -8,8 +25,10 @@ class Agent:
         self.grid_size = grid_size
         self.image= pygame.image.load(image_path)
         self.image = pygame.transform.scale(self.image, (grid_size, grid_size))
+        self._dryfood = 0
+        self._wetfood = 0
         
-    def draw(self, screen, grid_size):
+    def draw(self, const):
         # Obróć obrazek zgodnie z kierunkiem
         if self.direction == 'E':
             self.image= pygame.image.load('images/agent4.png')
@@ -19,19 +38,21 @@ class Agent:
             self.image= pygame.image.load('images/agent3.png')
         else:  # direction == 'N'
             self.image= pygame.image.load('images/agent2.png')
-        self.image = pygame.transform.scale(self.image, (grid_size, grid_size))
-        screen.blit(self.image, (self.x * self.grid_size, self.y * self.grid_size))
+        self.image = pygame.transform.scale(self.image, (const.GRID_SIZE, const.GRID_SIZE))
+        const.screen.blit(self.image, (self.x * self.grid_size, self.y * self.grid_size))
 
-    def handle_event(self, event, max_x, max_y, animals, obstacles):
+        if const.IS_NIGHT: draw_night(const)
+
+    def handle_event(self, event, max_x, max_y, animals, obstacles,const):
         if event.type == pygame.KEYDOWN:
             if event.key == pygame.K_UP:
-                self.move('Go Forward', max_x, max_y, obstacles, animals)
+                self.move('Go Forward', max_x, max_y, obstacles, animals,const)
             elif event.key == pygame.K_LEFT:
-                self.move('Turn Left', max_x, max_y, obstacles, animals)
+                self.move('Turn Left', max_x, max_y, obstacles, animals,const)
             elif event.key == pygame.K_RIGHT:
-                self.move('Turn Right', max_x, max_y, obstacles, animals)
+                self.move('Turn Right', max_x, max_y, obstacles, animals,const)
 
-    def move(self, action, max_x, max_y, obstacles, animals, goal):
+    def move(self, action, max_x, max_y, obstacles, animals, goal,const):
         if action == 'Go Forward':
             new_x, new_y = self.x, self.y
             if self.direction == 'N':
@@ -54,13 +75,54 @@ class Agent:
             self.direction = {'N': 'E', 'E': 'S', 'S': 'W', 'W': 'N'}[self.direction]
         
         self.istate = (self.x, self.y, self.direction) 
-        feed_animal(self, animals, goal)
+        feed_animal(self, animals, goal,const)
+        take_food(self)
 
-def feed_animal(self, animals, goal): 
+def feed_animal(self, animals, goal,const):
     goal_x, goal_y = goal
+    neuron = AnimalClassifier('./model/best_model.pth', classes)
     if self.x == goal_x and self.y == goal_y:
         for animal in animals:
             if animal.x == goal_x and animal.y == goal_y:
-                if animal.feed() == 'True':
-                    animal._feed = 0
-                    print(animal.name, "fed with", animal.food)
+                if (animal.activity == 'nocturnal' and const.IS_NIGHT) or (animal.activity == 'diurnal' and not(const.IS_NIGHT)):
+                    activity_time = True
+                else:
+                    activity_time = False
+                guests = random.randint(1, 15)
+                guess = neuron.classify(animal.image_path)
+                if guess == animal.name:
+                    print(f"I'm sure this is {guess} and i give it {animal.food} as a snack")
+                    animal.draw_snack(const.screen, const.GRID_SIZE, animal.x, animal.y)
+                else:
+                    print(f"I was wrong, this is not a {guess} but a {animal.name}")
+                decision = feed_decision(animal.adult, activity_time, animal.ill, const.season, guests, animal._feed, self._dryfood, self._wetfood)
+                if decision != [1]:
+                    if decision == [2]:
+                        if animal.getting_hungry(const=Constants()) < self._wetfood :
+                            self._wetfood -= animal._feed
+                            animal._feed = 0
+                        else:
+                            animal._feed -= self._wetfood
+                            self._wetfood = 0
+                        print(animal.name, "fed with wet food")
+                    else:
+                        if animal.getting_hungry(const=Constants()) < self._dryfood :
+                            self._dryfood -= animal._feed
+                            animal._feed = 0
+                        else:
+                            animal._feed -= self._dryfood
+                            self._dryfood = 0
+                        print(animal.name, "fed with dry food")
+                    print("Current wet food level: ", self._wetfood)
+                    print("Current dry food level: ", self._dryfood)
+                else: print(animal.name, " not fed")
+
+
+def take_food(self):
+    house_x = 3
+    house_y = 1
+    if self.x == house_x and self.y == house_y:
+        if self._dryfood < 1 or self._wetfood < 1:
+            self._dryfood = 50
+            self._wetfood = 50
+            print("Agent took food and current food level is", self._dryfood, self._wetfood)

classification.py

@@ -0,0 +1,47 @@
+import torch
+import torchvision.transforms as transforms
+import PIL.Image as Image
+
+class AnimalClassifier:
+    def __init__(self, model_path, classes, image_size=224, mean=None, std=None):
+        self.classes = classes
+        self.device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
+        self.model = torch.load(model_path, map_location=torch.device('cpu'))
+        self.model = self.model.to(self.device)
+        self.model = self.model.eval()
+        self.image_size = image_size
+        self.mean = mean if mean is not None else [0.5164, 0.5147, 0.4746]
+        self.std = std if std is not None else [0.2180, 0.2126, 0.2172]
+        self.image_transforms = transforms.Compose([
+            transforms.Resize((self.image_size, self.image_size)),
+            transforms.ToTensor(),
+            transforms.Normalize(torch.Tensor(self.mean), torch.Tensor(self.std))
+        ])
+
+    def classify(self, image_path):
+        image = Image.open(image_path)
+
+        if image.mode == 'RGBA':
+            image = image.convert('RGB')
+
+        image = self.image_transforms(image).float()
+        image = image.unsqueeze(0).to(self.device)
+
+        with torch.no_grad():
+            output = self.model(image)
+
+        _, predicted = torch.max(output.data, 1)
+
+        return self.classes[predicted.item()]
+
+classes = [
+    "bat",
+    "bear",
+    "elephant",
+    "giraffe",
+    "owl",
+    "parrot",
+    "penguin"
+]
+
+

constants.py

@@ -1,15 +1,26 @@
+import random
 import pygame
+import time
 
 class Constants:
     def __init__(self):
         self.BLACK = (0, 0, 0)
         self.RED = (255, 0, 0)
-        self.GRID_SIZE = 50
+        self.GRID_SIZE = 65
         self.GRID_WIDTH = 30
         self.GRID_HEIGHT = 15
         self.WINDOW_SIZE = (self.GRID_WIDTH * self.GRID_SIZE, self.GRID_HEIGHT * self.GRID_SIZE)
         self.background_image = pygame.transform.scale(pygame.image.load('images/tło.jpg'), self.WINDOW_SIZE)
 
+        self.IS_NIGHT = False
+        self.TIME_CHANGE = time.time() + 60
+
+        self.season = random.choice(["spring", "summer", "autumn", "winter"])
+
+        self.SIZE = 224
+        self.mean = [0.5164, 0.5147, 0.4746]
+        self.std = [0.2180, 0.2126, 0.2172]
+
 def init_pygame(const):
     pygame.init()
     const.screen = pygame.display.set_mode(const.WINDOW_SIZE)

dane.csv

@@ -0,0 +1,313 @@
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+False,True,True,winter,13,1.24017,36.88006,16.50894,1
+False,True,True,winter,13,6.1878,15.18876,9.02381,2
+True,True,True,winter,5,5.45157,13.27868,39.39805,2
+True,False,True,spring,5,2.82881,28.62319,24.03077,1
+False,False,True,spring,2,4.8246,41.45269,48.89539,2
+True,False,False,spring,8,9.3343,39.02018,45.01066,3
+True,True,True,autumn,4,1.8456,2.94366,37.44996,1
+False,True,True,summer,14,0.95333,4.57964,26.37633,1
+False,False,True,autumn,13,9.84087,24.03819,41.72097,2
+True,False,False,autumn,9,3.70617,32.70115,1.69105,1
+True,True,True,spring,12,6.77783,6.67976,20.46179,3
+False,False,True,summer,15,7.15829,31.24546,10.37666,3
+False,True,True,summer,1,2.28393,18.13299,34.38756,3
+True,False,True,autumn,7,3.96302,39.84093,47.0172,1
+True,False,False,summer,1,0.65085,20.20581,14.96995,1
+True,False,False,winter,2,9.24331,26.34543,30.5147,2
+True,False,False,summer,3,2.86309,15.56342,1.04324,1
+True,True,True,autumn,8,5.71809,24.41045,48.78273,2
+True,True,True,autumn,8,5.71809,24.41045,48.78273,2
+True,True,True,winter,8,5.71809,0.99999,48.78273,3
+True,True,True,winter,8,5.71809,1.98675,48.79993,3
+True,True,False,winter,8,7.71809,1.02345,38.78273,3
+True,False,False,summer,1,4.03947,33.84073,6.48891,1
+True,False,False,winter,4,2.46471,24.07929,17.77792,1
+False,False,False,winter,9,3.66415,23.68306,24.43865,1
+True,True,True,autumn,8,5.71809,24.41045,48.78273,2
+False,True,True,spring,3,5.3009,34.83862,6.75862,2
+True,False,True,winter,8,6.23275,8.1183,19.6922,3
+False,True,True,autumn,2,4.21016,11.24334,34.98395,3
+True,True,False,autumn,0,2.79424,13.25106,5.69617,1
+True,True,False,winter,15,2.43843,14.61703,49.57393,2
+True,True,True,summer,8,2.28654,20.9895,5.64007,1
+False,False,False,autumn,1,2.5607,26.85209,47.10784,1
+True,True,True,winter,14,1.56638,18.02703,7.05011,1
+False,False,False,winter,13,3.86632,28.9884,20.1928,1
+True,False,False,summer,13,6.37654,34.3833,34.53892,3
+True,False,False,summer,13,6.37654,34.3833,34.53892,3
+True,False,False,spring,11,8.35634,0.00000,34.53892,3
+True,False,True,summer,13,9.37654,34.3833,0.00000,2
+True,False,False,winter,13,7.77754,34.3833,0.00000,2
+True,True,True,summer,5,8.10422,7.6617,23.41017,3

decision_tree.py

@@ -0,0 +1,48 @@
+import pandas as pd
+from sklearn.tree import DecisionTreeClassifier, plot_tree
+from sklearn.model_selection import train_test_split
+from sklearn.metrics import accuracy_score
+import matplotlib.pyplot as plt
+headers = ['adult','active_time','ill','season','guests','hunger','wet_food','dry_food']
+# Wczytanie danych
+data = pd.read_csv('dane.csv', header=0) 
+X = data[headers]
+Y = data['d