animated subplots using matplotlib and info text with current values











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0
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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()









share|improve this question


























    up vote
    0
    down vote

    favorite












    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()









    share|improve this question
























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      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()









      share|improve this question













      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()






      python matplotlib subplot data-generation livegraph






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 22 at 16:11









      ioaniatr

      9411




      9411
























          1 Answer
          1






          active

          oldest

          votes

















          up vote
          1
          down vote



          accepted










          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





          share|improve this answer





















          • It works!! Thank you!! But, how actually makes it iterable this way?
            – ioaniatr
            Nov 23 at 14:39












          • Lists are iterable in python.
            – ImportanceOfBeingErnest
            Nov 23 at 14:41










          • I saw that it actually merge the 2 lists into one and looks like: [<matplotlib.lines.Line2D object>, <matplotlib.lines.Line2D object>,<matplotlib.text.Text object>, <matplotlib.text.Text object>], but it thought that it should be like: [<matplotlib.lines.Line2D object>, <matplotlib.text.Text object>, <matplotlib.lines.Line2D object>,<matplotlib.text.Text object>]
            – ioaniatr
            Nov 23 at 14:51










          • What's the difference?
            – ImportanceOfBeingErnest
            Nov 23 at 15:44










          • Maybe, it puts the wrong info_text into the wrong graph. Every graph has it own info_text.
            – ioaniatr
            Nov 23 at 15:52











          Your Answer






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          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes








          up vote
          1
          down vote



          accepted










          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





          share|improve this answer





















          • It works!! Thank you!! But, how actually makes it iterable this way?
            – ioaniatr
            Nov 23 at 14:39












          • Lists are iterable in python.
            – ImportanceOfBeingErnest
            Nov 23 at 14:41










          • I saw that it actually merge the 2 lists into one and looks like: [<matplotlib.lines.Line2D object>, <matplotlib.lines.Line2D object>,<matplotlib.text.Text object>, <matplotlib.text.Text object>], but it thought that it should be like: [<matplotlib.lines.Line2D object>, <matplotlib.text.Text object>, <matplotlib.lines.Line2D object>,<matplotlib.text.Text object>]
            – ioaniatr
            Nov 23 at 14:51










          • What's the difference?
            – ImportanceOfBeingErnest
            Nov 23 at 15:44










          • Maybe, it puts the wrong info_text into the wrong graph. Every graph has it own info_text.
            – ioaniatr
            Nov 23 at 15:52















          up vote
          1
          down vote



          accepted










          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





          share|improve this answer





















          • It works!! Thank you!! But, how actually makes it iterable this way?
            – ioaniatr
            Nov 23 at 14:39












          • Lists are iterable in python.
            – ImportanceOfBeingErnest
            Nov 23 at 14:41










          • I saw that it actually merge the 2 lists into one and looks like: [<matplotlib.lines.Line2D object>, <matplotlib.lines.Line2D object>,<matplotlib.text.Text object>, <matplotlib.text.Text object>], but it thought that it should be like: [<matplotlib.lines.Line2D object>, <matplotlib.text.Text object>, <matplotlib.lines.Line2D object>,<matplotlib.text.Text object>]
            – ioaniatr
            Nov 23 at 14:51










          • What's the difference?
            – ImportanceOfBeingErnest
            Nov 23 at 15:44










          • Maybe, it puts the wrong info_text into the wrong graph. Every graph has it own info_text.
            – ioaniatr
            Nov 23 at 15:52













          up vote
          1
          down vote



          accepted







          up vote
          1
          down vote



          accepted






          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





          share|improve this answer












          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






          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 22 at 20:02









          ImportanceOfBeingErnest

          123k10125202




          123k10125202












          • It works!! Thank you!! But, how actually makes it iterable this way?
            – ioaniatr
            Nov 23 at 14:39












          • Lists are iterable in python.
            – ImportanceOfBeingErnest
            Nov 23 at 14:41










          • I saw that it actually merge the 2 lists into one and looks like: [<matplotlib.lines.Line2D object>, <matplotlib.lines.Line2D object>,<matplotlib.text.Text object>, <matplotlib.text.Text object>], but it thought that it should be like: [<matplotlib.lines.Line2D object>, <matplotlib.text.Text object>, <matplotlib.lines.Line2D object>,<matplotlib.text.Text object>]
            – ioaniatr
            Nov 23 at 14:51










          • What's the difference?
            – ImportanceOfBeingErnest
            Nov 23 at 15:44










          • Maybe, it puts the wrong info_text into the wrong graph. Every graph has it own info_text.
            – ioaniatr
            Nov 23 at 15:52


















          • It works!! Thank you!! But, how actually makes it iterable this way?
            – ioaniatr
            Nov 23 at 14:39












          • Lists are iterable in python.
            – ImportanceOfBeingErnest
            Nov 23 at 14:41










          • I saw that it actually merge the 2 lists into one and looks like: [<matplotlib.lines.Line2D object>, <matplotlib.lines.Line2D object>,<matplotlib.text.Text object>, <matplotlib.text.Text object>], but it thought that it should be like: [<matplotlib.lines.Line2D object>, <matplotlib.text.Text object>, <matplotlib.lines.Line2D object>,<matplotlib.text.Text object>]
            – ioaniatr
            Nov 23 at 14:51










          • What's the difference?
            – ImportanceOfBeingErnest
            Nov 23 at 15:44










          • Maybe, it puts the wrong info_text into the wrong graph. Every graph has it own info_text.
            – ioaniatr
            Nov 23 at 15:52
















          It works!! Thank you!! But, how actually makes it iterable this way?
          – ioaniatr
          Nov 23 at 14:39






          It works!! Thank you!! But, how actually makes it iterable this way?
          – ioaniatr
          Nov 23 at 14:39














          Lists are iterable in python.
          – ImportanceOfBeingErnest
          Nov 23 at 14:41




          Lists are iterable in python.
          – ImportanceOfBeingErnest
          Nov 23 at 14:41












          I saw that it actually merge the 2 lists into one and looks like: [<matplotlib.lines.Line2D object>, <matplotlib.lines.Line2D object>,<matplotlib.text.Text object>, <matplotlib.text.Text object>], but it thought that it should be like: [<matplotlib.lines.Line2D object>, <matplotlib.text.Text object>, <matplotlib.lines.Line2D object>,<matplotlib.text.Text object>]
          – ioaniatr
          Nov 23 at 14:51




          I saw that it actually merge the 2 lists into one and looks like: [<matplotlib.lines.Line2D object>, <matplotlib.lines.Line2D object>,<matplotlib.text.Text object>, <matplotlib.text.Text object>], but it thought that it should be like: [<matplotlib.lines.Line2D object>, <matplotlib.text.Text object>, <matplotlib.lines.Line2D object>,<matplotlib.text.Text object>]
          – ioaniatr
          Nov 23 at 14:51












          What's the difference?
          – ImportanceOfBeingErnest
          Nov 23 at 15:44




          What's the difference?
          – ImportanceOfBeingErnest
          Nov 23 at 15:44












          Maybe, it puts the wrong info_text into the wrong graph. Every graph has it own info_text.
          – ioaniatr
          Nov 23 at 15:52




          Maybe, it puts the wrong info_text into the wrong graph. Every graph has it own info_text.
          – ioaniatr
          Nov 23 at 15:52


















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