Plot polar graph:

import matplotlib.pyplot as plt
import numpy as np

employee = ["Sam", "Rony", "Albert", "Chris", "Jahrum"]
actual = [45, 53, 55, 61, 57, 45]
expected = [50, 55, 60, 65, 55, 50]

# Initialise the spider plot by setting figure size and polar projection
plt.figure(figsize=(10, 6))
plt.subplot(polar=True)

theta = np.linspace(0, 2 * np.pi, len(actual))

# Arrange the grid into number of sales equal parts in degrees
lines, labels = plt.thetagrids(range(0, 360, int(360/len(employee))), (employee))

# Plot actual sales graph
plt.plot(theta, actual)
plt.fill(theta, actual, 'b', alpha=0.1)

# Plot expected sales graph
plt.plot(theta, expected)

# Add legend and title for the plot
plt.legend(labels=('Actual', 'Expected'), loc=1)
plt.title("Actual vs Expected sales by Employee")

# Dsiplay the plot on the screen
plt.show()