decision tree update

Field.py

@@ -25,9 +25,9 @@ class Field:
         elif self.state == 'toFertilize':
             return 3
         elif self.state == 'toWater':
-            return 200
+            return 4
         elif self.state == 'toCut':
-            return 99
+            return 100
         else:
             return 0
 

Testfile.py

@@ -1,221 +1,122 @@
 from itertools import product
-import numpy as np
-import pandas as pd
 import csv
-import id3test
+
-import pprint
+# stan pola: toCut, toPlow, toWater, toSeed, toFertilize
-import sys
+# pora dnia: dzień, noc
-import pandas
+# pogoda: sunny, cloudy, rainy, hail
-from sklearn import tree
+# temperatura: freezing, cold, mild, hot
-import pydotplus
+# wiatr: windless, strong wind, gale
-from sklearn.tree import DecisionTreeClassifier
+# humidy: low, high
-import matplotlib.pyplot as plt
+
-import matplotlib.image as pltimg
 
 field_states = ['toPlow', 'toWater', 'toSeed', 'toFertilize', 'toCut']
-header = ['Equipped', 'Not Equipped']
+day_time = ['Day', 'Night']
-hitch = ['Tillage Unit', 'Crop Trailer']
+weather = ['Clear Sky', 'Cloudy', 'Rainy', 'Hail']
-tillage_unit = ['Seeds', 'Water', 'Fertilizer', 'Nothing']
+temperature = ['Freezing', 'Cold', 'Mild', 'Hot']
-engine_working = ['Yes', 'No']
+wind = ['Windless', 'Strong Wind', 'Gale']
-in_base = ['Yes', 'No']
+humidy = ['Low', 'High']
-fuel = ['Enough', 'Not_Enough']
 
-# output = list(product(field_states, header, hitch, tillage_unit, engine_working, in_base, fuel))
+output = list(product(field_states, day_time, weather, temperature, wind, humidy))
-output = list(product(field_states, header, hitch, tillage_unit, in_base))
 
 dict = []
-# for x in range(len(output)):
-#     # dict.append({'field': output[x][0], 'header' : output[x][1], 'hitch' : output[x][2],
-#     #              'tillage_unit' : output[x][3], 'engine_working' : output[x][4],
-#     #              'in_base' : output[x][5], 'fuel': output[x][6]})
-#     print(x+1, output[x])
-
-decisions = []
-curr_decision = "Make Action"
 
 for x in range(len(output)):
-    aField = output[x][0]
+    if x % 3 == 0:
-    aHeader = output[x][1]
-    aHitch = output[x][2]
-    aTillage_unit = output[x][3]
-    aIn_base = output[x][4]
-
         while True:
-        curr_decision = "Make Action"
+            mField = output[x][0]
+            mDay_time = output[x][1]
+            mWeather = output[x][2]
+            mTemperature = output[x][3]
+            mWind = output[x][4]
+            mHumidy = output[x][5]
+            mDecision = 'null'
 
-        if aField == 'toCut':
+            # pora dnia: dzień 2, noc -2
-            if not aHeader == 'Equipped':
+            # pogoda: sunny+3, cloudy+3, rainy-2, hail-5
-                if aIn_base == 'Yes':
+            # temperatura: freezing -3, cold-1, mild+4, hot+2
-                    curr_decision = 'Change Header'
+            # wiatr: windless +2, strong wind-1, gale-3
+            # humidy: low+2, high-3
+
+            if mDay_time == 'Day':
+                valDay_time = 2
+            else:
+                valDay_time = -3
+
+            if mWeather == 'Clear Sky' or 'Cloudy':
+                valWeather = 3
+            elif mWeather == 'Rainy':
+                valWeather = -2
+            else:
+                valWeather = -5
+
+            if mTemperature == 'Freezing':
+                valTemperature = -3
+            elif mTemperature == 'Cold':
+                valTemperature = -1
+            elif mTemperature == 'Mild':
+                valTemperature = 4
+            else:
+                valTemperature = 2
+
+            if mWind == 'Windless':
+                valWind = +2
+            elif mWind == 'Strong Wind':
+                valWind = -1
+            else:
+                valWind = -3
+
+            if humidy == 'Low':
+                valHumidy = 2
+            else:
+                valHumidy = -2
+
+            result = valDay_time + valWeather + valTemperature + valWind + valHumidy
+            if result >= 0:
+                mDecision = "Make Action"
+            else:
+                mDecision = "Wait"
+
+            #Special conditions
+            if mDay_time == 'Night' and (mField == 'toWater' or mField == 'toCut'):
+                mDecision = "Make Action"
                 break
             else:
-                    curr_decision = 'Go To Base'
+                mDecision = "Wait"
+
+            if mWeather == 'Rainy' and (mField == 'toPlow' or mField == 'toSeed'):
+                mDecision = "Make Action"
+                break
+            else:
+                mDecision = 'Wait'
+
+            if mWeather == 'Hail':
+                mDecision = 'Wait'
                 break
 
-            if not aHitch == 'Crop Trailer':
+            if mTemperature == 'Freezing':
-                if aIn_base == 'Yes':
+                mDecision = 'Wait'
-                    curr_decision = 'Change Hitch'
-                    break
-                else:
-                    curr_decision = 'Go To Base'
                 break
 
-        if aField == 'toPlow':
+            if mWind == 'Gale':
-            if aHeader == 'Equipped':
+                mDecision = 'Wait'
-                if aIn_base == "Yes":
-                    curr_decision = 'Change Header'
-                    break
-                else:
-                    curr_decision = 'Go To Base'
                 break
 
-            if not aHitch == "Tillage Unit":
+            if mHumidy == 'High' and mField == 'toCut':
-                if aIn_base == "Yes":
+                mDecision = "Wait"
-                    curr_decision = "Change Hitch"
                 break
             else:
-                    curr_decision = "Go To Base"
+                mDecision = "Make Action"
-                    break
+
-            if not aTillage_unit == "Nothing":
-                if aIn_base == "Yes":
-                    curr_decision = "Change Load"
-                    break
-                else:
-                    curr_decision = "Go To Base"
             break
 
-        if aField == 'toSeed':
+        dict.append({'Field': mField, 'Day Time': mDay_time, 'Weather': mWeather,
-            if aHeader == 'Equipped':
+                 'Temperature': mTemperature, 'Wind': mWind, 'Humidy': mHumidy, 'Decision': mDecision})
-                if aIn_base == "Yes":
-                    curr_decision = 'Change Header'
-                    break
-                else:
-                    curr_decision = 'Go To Base'
-                    break
 
-            if not aHitch == "Tillage Unit":
+fields = ['Field', 'Day Time', 'Weather', 'Temperature', 'Wind', 'Humidy', 'Decision']
-                if aIn_base == "Yes":
-                    curr_decision = "Change Hitch"
-                    break
-                else:
-                    curr_decision = "Go To Base"
-                    break
-            if not aTillage_unit == "Seeds":
-                if aIn_base == "Yes":
-                    curr_decision = "Change Load"
-                    break
-                else:
-                    curr_decision = "Go To Base"
-                    break
 
-        if aField == 'toWater':
+filename = "treedata\\data.csv"
-            if aHeader == 'Equipped':
-                if aIn_base == "Yes":
-                    curr_decision = 'Change Header'
-                    break
-                else:
-                    curr_decision = 'Go To Base'
-                    break
-
-            if not aHitch == "Tillage Unit":
-                if aIn_base == "Yes":
-                    curr_decision = "Change Hitch"
-                    break
-                else:
-                    curr_decision = "Go To Base"
-                    break
-            if not aTillage_unit == "Water":
-                if aIn_base == "Yes":
-                    curr_decision = "Change Load"
-                    break
-                else:
-                    curr_decision = "Go To Base"
-                    break
-
-        if aField == 'toFertilize':
-            if aHeader == 'Equipped':
-                if aIn_base == "Yes":
-                    curr_decision = 'Change Header'
-                    break
-                else:
-                    curr_decision = 'Go To Base'
-                    break
-
-            if not aHitch == "Tillage Unit":
-                if aIn_base == "Yes":
-                    curr_decision = "Change Hitch"
-                    break
-                else:
-                    curr_decision = "Go To Base"
-                    break
-            if not aTillage_unit == "Fertilizer":
-                if aIn_base == "Yes":
-                    curr_decision = "Change Load"
-                    break
-                else:
-                    curr_decision = "Go To Base"
-                    break
-        if aIn_base == 'Yes':
-            curr_decision = 'Go To Field'
-        break
-    dict.append({'Field': aField, 'Header': aHeader, 'Hitch': aHitch, 'Tillage_Unit': aTillage_unit,
-                 'In_Base': aIn_base, 'Decision': curr_decision})
-
-print(dict)
-
-fields = ['Field', 'Header', 'Hitch', 'Tillage_Unit', 'In_Base', 'Decision']
-
-filename = "treedata\\data2.csv"
 
 with open(filename, 'w') as csvfile:
     writer = csv.DictWriter(csvfile, fieldnames=fields)
     writer.writeheader()
     writer.writerows(dict)
-
-df = pandas.read_csv("treedata\\data2.csv")
-print(df)
-
-# Map text values to number values
-d = {'toPlow': 0, 'toWater': 1, 'toSeed': 2, 'toFertilize': 3, 'toCut': 4}
-df['Field'] = df['Field'].map(d)
-
-d = {'Not Equipped': 0, 'Equipped': 1}
-df['Header'] = df['Header'].map(d)
-
-d = {'Tillage Unit': 0, 'Crop Trailer': 1}
-df['Hitch'] = df['Hitch'].map(d)
-
-d = {'Nothing': 0, 'Seeds': 1, 'Water': 2, 'Fertilizer': 3}
-df['Tillage_Unit'] = df['Tillage_Unit'].map(d)
-
-d = {'No': 0, 'Yes': 1}
-df['In_Base'] = df['In_Base'].map(d)
-
-d = {'Make Action': 0, 'Change Header': 1, 'Go To Base': 2, 'Change Hitch': 3, 'Change Load': 4, 'Go To Field': 5}
-df['Decision'] = df['Decision'].map(d)
-
-# Separate the feature columns from targert columns
-
-features = ['Field', 'Header', 'Hitch', 'Tillage_Unit', 'In_Base']
-
-X = df[features]
-y = df['Decision']
-
-# FIELD 'toPlow' : 0, 'toWater' : 1, 'toSeed' : 2, 'toFertilize' : 3, 'toCut' : 4
-# HEADER 'Not Equipped' : 0, 'Equipped' : 1
-# HITCH 'Tillage Unit' : 0, 'Crop Trailer' : 1
-# TILLAGE 'Nothing' : 0, 'Seeds' : 1, 'Water': 2, 'Fertilizer': 3
-# IN BASE 'No' : 0, 'Yes' : 1
-
-
-dtree = DecisionTreeClassifier()
-dtree = dtree.fit(X, y)
-data = tree.export_graphviz(dtree, out_file=None, feature_names=features)
-graph = pydotplus.graph_from_dot_data(data)
-graph.write_png('mydecisiontree.png')
-
-img = pltimg.imread('mydecisiontree.png')
-imgplot = plt.imshow(img)
-plt.show()
-
-print(dtree.predict([[0, 1, 1, 3, 0]]))

WeatherConditions.py

@@ -1,7 +1,7 @@
 import random
 
 def checkConditions():
-    weather = random.choice(['Sunny', 'Cloudy', 'Rainy', 'Hail'])
+    weather = random.choice(['Clear Sky', 'Cloudy', 'Rainy', 'Hail'])
     day_time = random.choice(['Day', 'Night'])
     temperature = random.choice(['Freezing', 'Cold', 'Mild', 'Hot'])
     wind = random.choice(['Windless', 'Strong Wind', 'Gale'])

decisiontree.py

@@ -29,7 +29,6 @@ df['Humidy'] = df['Humidy'].map(d)
 d = {'Wait' : 0, 'Make Action' : 1}
 df['Decision'] = df['Decision'].map(d)
 
-
 #Separate the feature columns from targert columns
 
 features = ['Field', 'Day Time', 'Weather', 'Temperature', 'Wind', 'Humidy']
@@ -37,7 +36,6 @@ features = ['Field', 'Day Time', 'Weather', 'Temperature', 'Wind', 'Humidy']
 X = df[features]
 y = df['Decision']
 
-
 dtree = DecisionTreeClassifier()
 dtree = dtree.fit(X, y)