This is a way to generate a scatter plot with Python and Matplotlib.

plot1.py

# This program generates a scatter plot.

import numpy as np
import matplotlib.pyplot as plt

colors = ['b', 'c', 'y', 'm', 'r', 'g']

# twoV
x = np.array([8, 6, 9, 8.5, 7.5, 6])
y = np.array([9, 10, 11, 8.5, 11.5, 11])
plt.scatter(x, y, c = colors[0], label = "2V")

# threeV
x = np.array([3, 5, 4, 0, 10, 2])
y = np.array([0, 10, 20, 0, 9, 3])
plt.scatter(x, y, c = colors[1], label = "3V")

# fourV
x = np.array([13, 12, 11, 12, 12, 10])
y = np.array([11, 8, 4, 4, 10, 1])
plt.scatter(x, y, c = colors[2], label = "4V")

# fiveV
x = np.array([14.5, 14.5, 14.5, 14.5, 15, 14])
y = np.array([15, 16, 19, 1, 20, 10])
plt.scatter(x, y, c = colors[3], label = "5V")

# sixV
x = np.array([17, 18, 19, 19, 16, 18])
y = np.array([7, 17, 0, 20, 10, 15])
plt.scatter(x, y, c = colors[4], label = "6V")

# sevenV
x = np.array([22, 23, 27, 18.5, 22, 20])
y = np.array([14, 7, 10, 8.5, 13.5, 7])
plt.scatter(x, y, c = colors[5], label = "7V")

# generate the scatter plot
plt.legend()
plt.grid(True)
plt.title("Locations of Voltages Measured with Dipole Arrangement")
# plt.show()
plt.savefig('plot1')