import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation

sum = 0

def data_gen(t=0):
    cnt = 0
    sumy = 0


    while cnt < 2000:
        
        cnt += 1
        t += 1
        y = np.random.randint(1,200,1)
        sumy=sumy+y
        yield t, sumy/cnt


def init():
    ax.set_ylim(50, 150) # Change as needed to cover the expected temperature range
    ax.set_xlim(0, 10)
    ax.set_xlabel('Count')
    ax.set_ylabel('Average value')
    del xdata[:]
    del ydata[:]
    line.set_data(xdata, ydata)
    return line,

fig, ax = plt.subplots()
line, = ax.plot([], [], lw=2)
ax.grid()
xdata, ydata = [], []


def run(data):
    # update the data
    t, y = data
    xdata.append(t)
    ydata.append(y)
    xmin, xmax = ax.get_xlim()

    if t >= xmax:
        ax.set_xlim(xmin, 2*xmax)

        ax.figure.canvas.draw()
    line.set_data(xdata, ydata)

    return line,

ani = animation.FuncAnimation(fig, run, data_gen, blit=False, interval=1,
                              repeat=False, init_func=init)
plt.show()