绘制最小化fmin（）的进度

Question

我正在使用scipy的fmin来最小化功能。有没有办法在同一图的顶部打印最小化的不同步骤，以便我可以看到进度？这是我要尽量减少的功能：

import numpy as np 
import matplotlib.pylab as plt

def wave_func(func_params):
    """This function calculates the difference between a sinewave (sin(x)) and raw_data (different sin wave)
    This is the function that will be minimized by modulating a, b, k, and h parameters in order to minimize
    the difference between curves."""

    a = 1
    b = 1
    k = 0
    h = 0

    y_wave = a * np.sin((x_vals-h)/b) + k
    error = np.sum((y_wave - raw_data) * (y_wave - raw_data))
    plt.plot(y_wave)
    plt.show()
    time.sleep(1)
    return error

但是，这每次都会绘制不同的图，并且不可能遵循。