First we need a NumPy and MatPlotLib modules.

Look at curve fitting explanation from wiki.

Second degree polynomial equation would help us: y=ax^2 + bx + c

This will exactly fit a simple curve to three points.

Using more points we get a nearest possible curve.

# Import modules from numpy import * from matplotlib.pyplot import * # Input data (change it) # X and Y points must have same length x = [1, 2, 4, 6] y = [10, 3, 7, -6] # (a, b, c) coefficients computation coefficients = polyfit(x, y, 2) # With coefficients we make a polynomial object poly = poly1d(coefficients) # Create point series xs = arange(min(x)-1, max(x)+1, 0.05) # Calculate resultant series ys = poly(xs) # Finally draw everything plot(xs, ys) plot(x, y, 'o') # X and Y axis label ylabel('y') xlabel('x') # And show show()