expfit¶
- numeric.fitting.expfit(x, y, func=False)¶
Exponent fitting.
- Parameters:
x – (array_like) x data array.
y – (array_like) y data array.
func – (boolean) Return fit function (for predict function) or not. Default is
False
.
- Returns:
Fitting parameters and function (optional).
Examples:
from mipylib.numeric import fitting x = linspace(0.1, 10, 200) y = 20*pow(e, 3*x) plot(x, y, 'ro', fill=False, size=1) r = np.fitting.expfit(x, y, func=True) f = r[3] py = fitting.predict(f, 0.2) print py print 20*pow(e, 3*0.2) #Plot fitting line xx = linspace(x.min(), x.max(), 100) yy = r[0]*pow(e, r[1]*xx) plot(xx, yy, '-b', linewidth=2) title('Exponent fitting example')