3D animation using matplotlib










5















I want to make 3D animation with matplotlib, but I don't know how to. Here is my non-working code.



from matplotlib import pyplot as plt
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import animation
from math import *

fig = plt.figure()
ax = fig.add_subplot(111) #, projection='3d'

#setting
ax.set_xlim(-5,5)
ax.set_ylim(-5,5)
#ax.set_zlim(-5,5)
ax.set_xlabel('x')
ax.set_ylabel('y')
#ax.set_zlabel('z')
ax.grid()

f1, = ax.plot(, , "r-", lw=1) #plot1

def gen():
for phi in np.linspace(0,2*pi,100):
yield np.cos(phi), np.sin(phi), phi

def update(data):
p1, q1, psi = data
f1.set_data(p1,q1)
#f1.set_3d_properties(psi)

ani = animation.FuncAnimation(fig, update, gen, blit=False, interval=100, repeat=True)
#ani.save('matplot003.gif', writer='imagemagick')
plt.show()









share|improve this question




























    5















    I want to make 3D animation with matplotlib, but I don't know how to. Here is my non-working code.



    from matplotlib import pyplot as plt
    import numpy as np
    from mpl_toolkits.mplot3d import Axes3D
    from matplotlib import animation
    from math import *

    fig = plt.figure()
    ax = fig.add_subplot(111) #, projection='3d'

    #setting
    ax.set_xlim(-5,5)
    ax.set_ylim(-5,5)
    #ax.set_zlim(-5,5)
    ax.set_xlabel('x')
    ax.set_ylabel('y')
    #ax.set_zlabel('z')
    ax.grid()

    f1, = ax.plot(, , "r-", lw=1) #plot1

    def gen():
    for phi in np.linspace(0,2*pi,100):
    yield np.cos(phi), np.sin(phi), phi

    def update(data):
    p1, q1, psi = data
    f1.set_data(p1,q1)
    #f1.set_3d_properties(psi)

    ani = animation.FuncAnimation(fig, update, gen, blit=False, interval=100, repeat=True)
    #ani.save('matplot003.gif', writer='imagemagick')
    plt.show()









    share|improve this question


























      5












      5








      5








      I want to make 3D animation with matplotlib, but I don't know how to. Here is my non-working code.



      from matplotlib import pyplot as plt
      import numpy as np
      from mpl_toolkits.mplot3d import Axes3D
      from matplotlib import animation
      from math import *

      fig = plt.figure()
      ax = fig.add_subplot(111) #, projection='3d'

      #setting
      ax.set_xlim(-5,5)
      ax.set_ylim(-5,5)
      #ax.set_zlim(-5,5)
      ax.set_xlabel('x')
      ax.set_ylabel('y')
      #ax.set_zlabel('z')
      ax.grid()

      f1, = ax.plot(, , "r-", lw=1) #plot1

      def gen():
      for phi in np.linspace(0,2*pi,100):
      yield np.cos(phi), np.sin(phi), phi

      def update(data):
      p1, q1, psi = data
      f1.set_data(p1,q1)
      #f1.set_3d_properties(psi)

      ani = animation.FuncAnimation(fig, update, gen, blit=False, interval=100, repeat=True)
      #ani.save('matplot003.gif', writer='imagemagick')
      plt.show()









      share|improve this question
















      I want to make 3D animation with matplotlib, but I don't know how to. Here is my non-working code.



      from matplotlib import pyplot as plt
      import numpy as np
      from mpl_toolkits.mplot3d import Axes3D
      from matplotlib import animation
      from math import *

      fig = plt.figure()
      ax = fig.add_subplot(111) #, projection='3d'

      #setting
      ax.set_xlim(-5,5)
      ax.set_ylim(-5,5)
      #ax.set_zlim(-5,5)
      ax.set_xlabel('x')
      ax.set_ylabel('y')
      #ax.set_zlabel('z')
      ax.grid()

      f1, = ax.plot(, , "r-", lw=1) #plot1

      def gen():
      for phi in np.linspace(0,2*pi,100):
      yield np.cos(phi), np.sin(phi), phi

      def update(data):
      p1, q1, psi = data
      f1.set_data(p1,q1)
      #f1.set_3d_properties(psi)

      ani = animation.FuncAnimation(fig, update, gen, blit=False, interval=100, repeat=True)
      #ani.save('matplot003.gif', writer='imagemagick')
      plt.show()






      python animation matplotlib 3d






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Jun 30 '16 at 15:12









      ppperry

      2,85111428




      2,85111428










      asked Jun 30 '16 at 9:08









      YutoYuto

      2813




      2813






















          1 Answer
          1






          active

          oldest

          votes


















          7














          I used this example http://matplotlib.org/1.4.1/examples/animation/simple_3danim.html
          and modified your code:



          from matplotlib import pyplot as plt
          import numpy as np
          import mpl_toolkits.mplot3d.axes3d as p3
          from matplotlib import animation

          fig = plt.figure()
          ax = p3.Axes3D(fig)

          def gen(n):
          phi = 0
          while phi < 2*np.pi:
          yield np.array([np.cos(phi), np.sin(phi), phi])
          phi += 2*np.pi/n

          def update(num, data, line):
          line.set_data(data[:2, :num])
          line.set_3d_properties(data[2, :num])

          N = 100
          data = np.array(list(gen(N))).T
          line, = ax.plot(data[0, 0:1], data[1, 0:1], data[2, 0:1])

          # Setting the axes properties
          ax.set_xlim3d([-1.0, 1.0])
          ax.set_xlabel('X')

          ax.set_ylim3d([-1.0, 1.0])
          ax.set_ylabel('Y')

          ax.set_zlim3d([0.0, 10.0])
          ax.set_zlabel('Z')

          ani = animation.FuncAnimation(fig, update, N, fargs=(data, line), interval=10000/N, blit=False)
          #ani.save('matplot003.gif', writer='imagemagick')
          plt.show()





          share|improve this answer

























          • Thanks!!! Now, I understand what I don't know.

            – Yuto
            Jul 1 '16 at 10:23










          Your Answer






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          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          7














          I used this example http://matplotlib.org/1.4.1/examples/animation/simple_3danim.html
          and modified your code:



          from matplotlib import pyplot as plt
          import numpy as np
          import mpl_toolkits.mplot3d.axes3d as p3
          from matplotlib import animation

          fig = plt.figure()
          ax = p3.Axes3D(fig)

          def gen(n):
          phi = 0
          while phi < 2*np.pi:
          yield np.array([np.cos(phi), np.sin(phi), phi])
          phi += 2*np.pi/n

          def update(num, data, line):
          line.set_data(data[:2, :num])
          line.set_3d_properties(data[2, :num])

          N = 100
          data = np.array(list(gen(N))).T
          line, = ax.plot(data[0, 0:1], data[1, 0:1], data[2, 0:1])

          # Setting the axes properties
          ax.set_xlim3d([-1.0, 1.0])
          ax.set_xlabel('X')

          ax.set_ylim3d([-1.0, 1.0])
          ax.set_ylabel('Y')

          ax.set_zlim3d([0.0, 10.0])
          ax.set_zlabel('Z')

          ani = animation.FuncAnimation(fig, update, N, fargs=(data, line), interval=10000/N, blit=False)
          #ani.save('matplot003.gif', writer='imagemagick')
          plt.show()





          share|improve this answer

























          • Thanks!!! Now, I understand what I don't know.

            – Yuto
            Jul 1 '16 at 10:23















          7














          I used this example http://matplotlib.org/1.4.1/examples/animation/simple_3danim.html
          and modified your code:



          from matplotlib import pyplot as plt
          import numpy as np
          import mpl_toolkits.mplot3d.axes3d as p3
          from matplotlib import animation

          fig = plt.figure()
          ax = p3.Axes3D(fig)

          def gen(n):
          phi = 0
          while phi < 2*np.pi:
          yield np.array([np.cos(phi), np.sin(phi), phi])
          phi += 2*np.pi/n

          def update(num, data, line):
          line.set_data(data[:2, :num])
          line.set_3d_properties(data[2, :num])

          N = 100
          data = np.array(list(gen(N))).T
          line, = ax.plot(data[0, 0:1], data[1, 0:1], data[2, 0:1])

          # Setting the axes properties
          ax.set_xlim3d([-1.0, 1.0])
          ax.set_xlabel('X')

          ax.set_ylim3d([-1.0, 1.0])
          ax.set_ylabel('Y')

          ax.set_zlim3d([0.0, 10.0])
          ax.set_zlabel('Z')

          ani = animation.FuncAnimation(fig, update, N, fargs=(data, line), interval=10000/N, blit=False)
          #ani.save('matplot003.gif', writer='imagemagick')
          plt.show()





          share|improve this answer

























          • Thanks!!! Now, I understand what I don't know.

            – Yuto
            Jul 1 '16 at 10:23













          7












          7








          7







          I used this example http://matplotlib.org/1.4.1/examples/animation/simple_3danim.html
          and modified your code:



          from matplotlib import pyplot as plt
          import numpy as np
          import mpl_toolkits.mplot3d.axes3d as p3
          from matplotlib import animation

          fig = plt.figure()
          ax = p3.Axes3D(fig)

          def gen(n):
          phi = 0
          while phi < 2*np.pi:
          yield np.array([np.cos(phi), np.sin(phi), phi])
          phi += 2*np.pi/n

          def update(num, data, line):
          line.set_data(data[:2, :num])
          line.set_3d_properties(data[2, :num])

          N = 100
          data = np.array(list(gen(N))).T
          line, = ax.plot(data[0, 0:1], data[1, 0:1], data[2, 0:1])

          # Setting the axes properties
          ax.set_xlim3d([-1.0, 1.0])
          ax.set_xlabel('X')

          ax.set_ylim3d([-1.0, 1.0])
          ax.set_ylabel('Y')

          ax.set_zlim3d([0.0, 10.0])
          ax.set_zlabel('Z')

          ani = animation.FuncAnimation(fig, update, N, fargs=(data, line), interval=10000/N, blit=False)
          #ani.save('matplot003.gif', writer='imagemagick')
          plt.show()





          share|improve this answer















          I used this example http://matplotlib.org/1.4.1/examples/animation/simple_3danim.html
          and modified your code:



          from matplotlib import pyplot as plt
          import numpy as np
          import mpl_toolkits.mplot3d.axes3d as p3
          from matplotlib import animation

          fig = plt.figure()
          ax = p3.Axes3D(fig)

          def gen(n):
          phi = 0
          while phi < 2*np.pi:
          yield np.array([np.cos(phi), np.sin(phi), phi])
          phi += 2*np.pi/n

          def update(num, data, line):
          line.set_data(data[:2, :num])
          line.set_3d_properties(data[2, :num])

          N = 100
          data = np.array(list(gen(N))).T
          line, = ax.plot(data[0, 0:1], data[1, 0:1], data[2, 0:1])

          # Setting the axes properties
          ax.set_xlim3d([-1.0, 1.0])
          ax.set_xlabel('X')

          ax.set_ylim3d([-1.0, 1.0])
          ax.set_ylabel('Y')

          ax.set_zlim3d([0.0, 10.0])
          ax.set_zlabel('Z')

          ani = animation.FuncAnimation(fig, update, N, fargs=(data, line), interval=10000/N, blit=False)
          #ani.save('matplot003.gif', writer='imagemagick')
          plt.show()






          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Jun 30 '16 at 11:32

























          answered Jun 30 '16 at 11:26









          Ophir CarmiOphir Carmi

          1,56911327




          1,56911327












          • Thanks!!! Now, I understand what I don't know.

            – Yuto
            Jul 1 '16 at 10:23

















          • Thanks!!! Now, I understand what I don't know.

            – Yuto
            Jul 1 '16 at 10:23
















          Thanks!!! Now, I understand what I don't know.

          – Yuto
          Jul 1 '16 at 10:23





          Thanks!!! Now, I understand what I don't know.

          – Yuto
          Jul 1 '16 at 10:23



















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