Ytukyg

I am trying to combine examples from here and here. info_text is not working, not updating.
I am getting error:

AttributeError: 'list' object has no attribute 'set_animated'

Anyone knows why?
Here is my code:

import numpy as np

import matplotlib.pyplot as plt

import matplotlib.animation as animation

from pprint import pprint



total_subplots = 2

# initialize the data arrays 

#xdata, y1data, y2data = , , 

signals =list()

for i in range(0, total_subplots):

    signals.append()  # [,] 

xdata = list()

ax = list()

lines = list()

info_text = list()



colors=['blue', 'red']





def data_gen():



    t_max = 1000.0

    t = 0

    dt = 0.05



    y = [''] * total_subplots



    while t < t_max:



        t += dt

        y[0] = np.sin(2*np.pi*t) * np.exp(-t/10.)

        y[1] = np.cos(2*np.pi*t) * np.exp(-t/10.)

        # adapted the data generator to yield both sin and cos

        yield t, y





def run(data):

    # update the data

    t, y = data



    xdata.append(t)



    for i in range(0, total_subplots):

        signals[i].append(y[i])



    # axis limits checking. Same as before, just for both axes

    for i in range(len(ax)):

        xmin, xmax = ax[i].get_xlim()

        if t >= xmax:

            ax[i].set_xlim(xmin, 2*xmax)

            ax[i].figure.canvas.draw()



    # update the data of both line objects

    for i in range(len(lines)):

        lines[i].set_data(xdata, signals[i])

        text = 'Time = %.1f s nValue = %.1f'%(t, y[i])        

        info_text[i].set_text(text)    



    return lines, info_text





# Initialize

# create a figure with two subplots

#fig, (ax1, ax2) = plt.subplots(2,1)

fig = plt.figure()

for i in range(0, total_subplots):

    axis = fig.add_subplot(2, 1, (i+1))

    ax.append(axis) 



    # intialize two line objects (one in each axes)

    line, = ax[i].plot(, , lw=2, color=colors[i])

    lines.append(line)



    # the same axes initalizations as before (just now we do it for both of them)

    ax[i].set_ylim(-1.1, 1.1)

    ax[i].set_xlim(0, 5)

    ax[i].grid()





    text = ax[i].text(0.05, 0.9, '', transform=ax[i].transAxes)

    info_text.append(text)



# Run

ani = animation.FuncAnimation(fig, run, 

                              data_gen,

                              interval=10,

                              blit=True,

                              repeat=False)



plt.show()

I think you mean to return the iterable of artists for the animation. It should one single iterable though. E.g.

return lines + info_text