Added all asked distributions and respective class. Missing only matplotlib

TPC1/main.py

@@ -14,6 +14,8 @@
 
 from dataclasses import dataclass
 from sys import argv
+from typing import Dict
+import matplotlib.pyplot as plt
 
 @dataclass
 class Person:
@@ -24,9 +26,63 @@ class Person:
     batimento: int
     temDoenca: bool
 
-people = []
+@dataclass
+class People:
+    value: list[Person]
 
-def read(path):
+@dataclass
+class Distribution:
+    count: int
+    total: int
+
+    def add_count(self,value:int):
+        self.count += value
+        self.total += 1
+
+    def get_percentage(self) -> float:
+        return self.count/self.total 
+
+@dataclass
+class DistributionTracker:
+    distributions: Dict
+    
+    def add_value(self, key, value: int):
+        if key not in self.distributions:
+            self.distributions[key] = Distribution(count=value, total=1)
+        else:
+            self.distributions[key].add_count(value)
+
+    def get_percentages(self) -> Dict[str,float]:
+        percentages = {}
+        for key,val in self.distributions.items():
+            percentages[key] = val.get_percentage()
+
+        return percentages
+
+    def print_distribution_tracker(self):
+        # Print table header
+        header = f"{'Key':<20} {'Count':<10} {'Total':<10} {'Percentage':<10}"
+        print(header)
+        print("-" * len(header))
+
+        # Print table rows
+        for key, distribution in self.distributions.items():
+            if isinstance(key, tuple):
+                key_str = f"{key[0]}-{key[1]}"
+            else:
+                key_str = str(key)
+            count = distribution.count
+            total = distribution.total
+            percentage = distribution.get_percentage() * 100
+
+            print(f"{key_str:<20} {count:<10} {total:<10} {percentage:.2f} %")
+
+
+    def plot_distribution(self):
+        #TODO
+        return 0
+
+def read(path:str,people:People):
     file = open(path, 'r')
     lines = file.readlines()
 
@@ -40,8 +96,64 @@ def read(path):
         batimento = int(field_list[4])
         temDoenca = bool(int(field_list[5]))
 
-        people.append(Person(idade,sexo,tensao,colesterol,batimento,temDoenca))
+        people.value.append(Person(idade,sexo,tensao,colesterol,batimento,temDoenca))
+
+def distribution_doenca_sexo(people,doenca_sexo:DistributionTracker):
+    for person in people.value:
+        if person.temDoenca:
+            doenca_sexo.add_value(person.sexo,1)
+        else:
+            doenca_sexo.add_value(person.sexo,0)
+        
+def distribution_doenca_escaloes_etarios(people,doenca_idade:DistributionTracker):
+    #Considere os seguintes escalões: [30-34], [35-39], [40-44], ...
+    interval_size = 5
+    for person in people.value:
+        index = person.idade // interval_size
+        start = index * interval_size
+        end = start + interval_size - 1
+
+        key = (start,end)
+        if person.temDoenca:
+            doenca_idade.add_value(key,1)
+        else:
+            doenca_idade.add_value(key,0)
+
+def distribution_doenca_colesterol(people,doenca_colesterol:DistributionTracker):
+    
+    interval_size = 10
+    for person in people.value:
+        index = person.colesterol // interval_size
+        start = index * interval_size
+        end = start + interval_size - 1
+
+        key = f"{start}-{end}" 
+        if person.temDoenca:
+            doenca_colesterol.add_value(key,1)
+        else:
+            doenca_colesterol.add_value(key,0)
 
 
-read(argv[1])
+
-print(people)
+def main():
+    people = People([])
+
+    read(argv[1],people)
+    
+    doenca_sexo = DistributionTracker({})
+    doenca_idade = DistributionTracker({})
+    doenca_colesterol = DistributionTracker({})
+
+    distribution_doenca_sexo(people,doenca_sexo)
+    distribution_doenca_escaloes_etarios(people,doenca_idade)
+    distribution_doenca_colesterol(people,doenca_colesterol)
+
+    doenca_sexo.print_distribution_tracker()
+    print("\n")
+    doenca_idade.print_distribution_tracker()
+    print("\n")
+    doenca_colesterol.print_distribution_tracker()
+    print("\n")
+
+if __name__ == "__main__":
+    main()