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import numpy as np

import matplotlib.pyplot as plt

from mpl_toolkits.mplot3d import Axes3D

# single points

'''

ax = plt.axes(projection="3d")

ax.scatter(3, 5, 7)

plt.show()

'''

# Define the range for x and y

x = np.linspace(-5, 5, 100)

y = np.linspace(-5, 5, 100)

# Create a meshgrid for x and y

X, Y = np.meshgrid(x, y)

# Calculate z values

Z = np.sin(X) + np.cos(Y)

# Plot the surface

fig = plt.figure()

ax = fig.add_subplot(111, projection='3d')

ax.plot_surface(X, Y, Z, cmap='viridis')

# Set labels and title

ax.set_xlabel('X')

ax.set_ylabel('Y')

ax.set_zlabel('Z')

ax.set_title('z = sin(x) + cos(y)')

# Show plot

plt.show()