delete

curveFitting.py

@@ -1,33 +0,0 @@
-import matplotlib.pyplot as plt
-from scipy.optimize import curve_fit
-import numpy as numpy
-
-#Fitting funtion
-def func(x, a, b)
-    return a*np.exp(b*x)
-    #return a*x+b
-
-#Experimental x and y data points
-xData = np.array([1,2,3,4,5])
-yData = np.array([1, 9, 50, 300, 1500])
-
-#Plot experimental data points
-plt.plot(xData, yData, 'bo', label='experimeatal-data')
-
-# Initial guess for the parameters
-#initialGuess = [1, 0, 1, 0]
-
-#Perform the curve-fit
-popt, pcov = curve_fit(func, xData, yData, initialGuess)
-print(popt)
-
-#x values for the fitted function
-xFit = np.arange(0.0, 5.0, 0.01)
-
-#Plot the fitted function
-plt.plot(xFit, func(xFit, *popt), 'r', label= 'fit params: a= %5.3f, b=%5.3f' %tuple(popt))
-
-plt.xlabel('x')
-plt.ylabel('y')
-plt.legend()
-plt.show()