read csv with training data

machine_learning/decisionTree.py

@@ -0,0 +1,23 @@
+import os
+from trainingData import TrainingData
+
+
+def _read_training_data() -> TrainingData:
+    attributes: list[list[str]] = []
+    classes: list[str] = []
+    __location__ = os.path.realpath(
+    os.path.join(os.getcwd(), os.path.dirname(__file__)))
+    file = open(os.path.join(__location__, 'training_data.csv'))
+    lines = file.readlines()[1:]
+    file.close()
+    for line in lines:
+        actual_row = line.replace('\n', '')
+        values = actual_row.split(',')
+        line_attributes = values[:-1]
+        line_class = values[-1]
+        attributes.append(line_attributes)
+        classes.append(line_class)
+    return TrainingData(attributes, classes)
+
+trainning_data = _read_training_data()
+            

machine_learning/trainingData.py

@@ -0,0 +1,7 @@
+class TrainingData:
+    attributes: list[list[str]]
+    classes: list[str]
+
+    def __init__(self, attributes: list[list[str]], classes: list[str]) -> None:
+        self.attributes = attributes
+        self.classes = classes