def plot(self):
    import matplotlib.pyplot as plt
    plt.ion()
    self.fig,self.axis = plt.subplots()
    self.line, = plt.plot([1,2],[10,10],color = '#A9F5D0', label="# Monitor Peers", marker='o', ls='None', markeredgecolor='#A9F5D0', animated=True)
    plt.axis([0, 100, 0, 101])
    self.fig.canvas.draw()
    self.line.set_xdata(self.x)

def update(self,y):
    self.line.set_ydata(y)
    self.axis.draw_artist(self.line)
    self.fig.canvas.blit(self.axis.bbox)
    self.fig.canvas.flush_events()


def store(self):
    drawing_log_file = open("test.txt", "w", 1)
    drawing_log_file.write(str(self.n)+'n')

    # Configuration in the first line

    while True:
        time.sleep(0.1)
        y = np.random.randint(0,100,self.n)
        # f.write("n".join(map(lambda x: str(x), mylist)))
        drawing_log_file.write(" ".join(map(str, y))+'n')

    drawing_log_file.write("Bye")
    drawing_log_file.close()


def draw(self):
    self.plot()
    time.sleep(2)
    file = open("test.txt","r")

    while True:
        time.sleep(2)
        line = file.readline()
        y = line.strip().split(" ", self.n)
        self.update(y)

def run(self):
    Process(target=self.store).start()
    time.sleep(5)
    p = Process(target=self.draw)
    p.start()

fire.Fire(Simulation)`