The question from PythonProgramming came closest to my question but the answer was unsatisfactory. There is very little documentation on Python-In-Excel. I am running a Python script INSIDE Excel which contains a loop and I would like to "print" the number of iterations (number_of_points) to a cell in the same sheet. Most of the documentation pertains to large databases which I am not interested in. I create science and math worksheets using Excel and Python, and previously, VBA. Here is the script: import numpy as np import matplotlib.pyplot as plt fig = plt.figure(figsize=(10,10)) ax = fig.add_subplot(1, 1, 1) a = xl("F2") b = xl("G2") c = xl("H2") d = xl("I2") x = np.linspace(-10, 10, 400) y1 = -a*x+b y2 = 0*x+c # Create the plot plt.plot(x, y1, color='blue', ls='--') plt.plot(x, y2, color='red', ls='--') plt.axvline(x = d, color = 'g', ls = "--") number_of_points = 0 for i in range(-10, 11): for j in range(-10, 11): if a*i + j < b and j > c and i > d: plt.plot(i, j, 'go') # 'go' for green points number_of_points = number_of_points + 1 # Major ticks every 20, minor ticks every 5 major_ticks = np.arange(-10, 11, 1) minor_ticks = np.arange(-10, 11, 1) ax.set_xticks(major_ticks) ax.set_xticks(minor_ticks, minor=True) ax.set_yticks(major_ticks) ax.set_yticks(minor_ticks, minor=True) ax.axhline(linewidth=1.2, color="k") ax.axvline(linewidth=1.2, color="k") # And a corresponding grid ax.grid(which='both') # Or if you want different settings for the grids: ax.grid(which='minor', alpha=0.2) ax.grid(which='major', color ="black", linewidth = 0.6, alpha=0.8) plt.xlim(-10, 10) plt.ylim(-10, 10) plt.show() Currently, the code produces a graph which I want. Just need the number_of_points returned too. One number, not a database. Below is a picture of the graph produced by the script. Continue reading...