Task10a

import matplotlib.pyplot as plt

languages = ['Java', 'Python', 'PHP', 'JavaScript', 'C#', 'C++']

popularity = [22.2, 17.6, 8.8, 8, 7.7, 6.7]

plt.bar(languages, popularity, color='b')

plt.title('Popularity of Programming Languages')

plt.xlabel('Programming Languages')

plt.ylabel('Popularity')

plt.show()

Task10b

import matplotlib.pyplot as plt

# Step 1

languages = ['Java', 'Python', 'PHP', 'JavaScript', 'C#', 'C++']

popularity = [22.2, 17.6, 8.8, 8, 7.7, 6.7]

# Step 2

plt.pie(popularity, labels=languages, autopct='%1.1f%%')

# Step 3

plt.title('Popularity of Programming Languages')

plt.legend(languages, loc="best")

# Step 4

plt.show()

Task10c

import pandas as pd

import matplotlib.pyplot as plt

# Read CSV

df = pd.read_csv("students.csv")

# x-axis = student names

x = df["Name"]

# Plot each test as a separate line

plt.plot(x, df["Test1"], marker='s', label="Test1")

plt.plot(x, df["Test2"], marker='o', label="Test2")

plt.plot(x, df["Test3"], marker='*', label="Test3")

plt.plot(x, df["Test4"], marker='x', label="Test4")

plt.ylabel("Marks")

plt.title("Student Marks Across Tests")

plt.legend()

plt.show()