
import numpy as np
from matplotlib import pyplot as plt
from matplotlib import animation
from IPython.display import HTML


# First set up the figure, the axis, and the plot element we want to animate
fig, ax = plt.subplots()
ax.set_xlim(( -1.5, 1.5))
ax.set_ylim((-1.5, 1.5))
line, = ax.plot([], [], lw=2)
#?
#line, = ax.step([], [])
ax.set_aspect('equal', adjustable='box')

# initialization function: plot the background of each frame
def init():
    line.set_data([], [])
    return (line,)


def plot_hour():
    alfa = np.linspace(np.pi*1/2, -3*1/2*np.pi, 13)
    hours  = np.array([12,1,2,3,4,5,6,7,8,9,10,11,12])
    print(hours)
    print(alfa)
    h = np.stack((alfa, hours), axis=1)
    print(h)
    
    flag = 0
    for item in np.nditer(h):
        #print(flag,item)
        if(flag==1):
            theta = lastItem
            nr = str(item)
            r=1.2
            ax.text(r*np.cos(theta),r*np.sin(theta),str(nr),color="green",fontsize=10,horizontalalignment='center')
        lastItem = item
        if(flag==0):flag=1
        elif(flag==1):flag=0

# animation function. This is called sequentially
def animate(i):

    x = [0, np.cos(i)]
    y = [0, np.sin(i)]
    
    line.set_data(x, y)
    return (line,)

delay=1000
alfa = np.linspace(np.pi*1/2, -3*1/2*np.pi, 13)
ax.scatter(np.cos(alfa),np.sin(alfa))
plot_hour()


# call the animator. blit=True means only re-draw the parts that have changed.
anim = animation.FuncAnimation(fig, animate, init_func=init,
                               frames=alfa, interval=delay, blit=True)
HTML(anim.to_html5_video())

# save the animation as an mp4.  This requires ffmpeg or mencoder to be
# installed.  The extra_args ensure that the x264 codec is used, so that
# the video can be embedded in html5.  You may need to adjust this for
# your system: for more information, see
# http://matplotlib.sourceforge.net/api/animation_api.html
#anim.save('movie.mp4', fps=30, extra_args=['-vcodec', 'libx264']
#or
# save the animation as mp4 video file
#anim.save('animated_coil.mp4', writer = 'ffmpeg', fps = 30)

# show the plot
#plt.show()

[12  1  2  3  4  5  6  7  8  9 10 11 12]
[ 1.57079633  1.04719755  0.52359878  0.         -0.52359878 -1.04719755
 -1.57079633 -2.0943951  -2.61799388 -3.14159265 -3.66519143 -4.1887902
 -4.71238898]
[[ 1.57079633 12.        ]
 [ 1.04719755  1.        ]
 [ 0.52359878  2.        ]
 [ 0.          3.        ]
 [-0.52359878  4.        ]
 [-1.04719755  5.        ]
 [-1.57079633  6.        ]
 [-2.0943951   7.        ]
 [-2.61799388  8.        ]
 [-3.14159265  9.        ]
 [-3.66519143 10.        ]
 [-4.1887902  11.        ]
 [-4.71238898 12.        ]]