python project

import matplotlib.pyplot as plt

# Function to calculate grade based on average
def calculate_grade(average):
    if average >= 90:
        return "A+"
    elif average >= 80:
        return "A"
    elif average >= 70:
        return "B"
    elif average >= 60:
        return "C"
    elif average >= 50:
        return "D"
    else:
        return "F"

# Collect student data
students = {}
num_students = int(input("Enter number of students: "))

for i in range(num_students):
    name = input(f"\nEnter name of student {i+1}: ")
    marks = []
    num_subjects = int(input(f"Enter number of subjects for {name}: "))
    
    for j in range(num_subjects):
        subject = input(f"  Enter subject {j+1} name: ")
        mark = float(input(f"  Enter marks for {subject}: "))
        marks.append((subject, mark))
    
    total = sum(m[1] for m in marks)
    average = total / num_subjects
    grade = calculate_grade(average)
    
    students[name] = {
        "marks": marks,
        "total": total,
        "average": average,
        "grade": grade
    }

# Display student results
print("\n--- Student Results ---")
for name, data in students.items():
    print(f"\n{name}")
    print(f"Total Marks: {data['total']}")
    print(f"Average: {data['average']:.2f}")
    print(f"Grade: {data['grade']}")

# Visualization
for name, data in students.items():
    subjects = [s[0] for s in data['marks']]
    marks = [s[1] for s in data['marks']]
    
    # Bar chart
    plt.figure(figsize=(6,4))
    plt.bar(subjects, marks, color='skyblue')
    plt.title(f"{name}'s Marks")
    plt.xlabel("Subjects")
    plt.ylabel("Marks")
    plt.ylim(0, 100)
    plt.show()
    
    # Pie chart
    plt.figure(figsize=(6,6))
    plt.pie(marks, labels=subjects, autopct='%1.1f%%', startangle=140)
    plt.title(f"{name}'s Marks Distribution")
    plt.show()