Fit Function

#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import division, print_function
import matplotlib.pyplot as plt
import numpy as np
from scipy.optimize import curve_fit
plt.style.use('ggplot')

def func(x, a, b, c, d, e, f):  # define function to fit
    return a + np.cos(b * x + f) * np.sin(c * x + d) * np.exp(e * x)

csv = np.genfromtxt('Default_Dataset.csv', delimiter=",")  # load data
popt, pcov = curve_fit(func, csv[:, 0], csv[:, 1])  # fit function

x_range = np.linspace(0, 8, 60)  # define range where to evaluate
y_fitted = func(x_range, popt[0], popt[1], popt[2],
                popt[3], popt[4], popt[5])  # evaluate

fig, ax = plt.subplots()  # plot
ax.plot(csv[:, 0], csv[:, 1], label='Original data')
ax.plot(x_range, y_fitted, '--', label='Fitted data')
ax.legend(loc='best')
plt.show()