SMArt Codes

The python codes used for Some Math Art (SMArt) in each episode of Anion The Future. In order of most to least recent.

#E2_A
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
import time
import random


print("starting")
start = time.time()

x_data = []
y_data = []
x2_data = []
y2_data = []
x3_data = []
y3_data = []

fig, ax = plt.subplots()
ax.set_xlim(-1.5, 1.5)
ax.set_ylim(-1.5,1.5)
line, = ax.plot(0,0)
line2, = ax.plot(0,0)
line3, = ax.plot(0,0)
r=1
r2=1.2
r3=1.5


def animation_frame(i):
    print(i)
    x=round(i/500)
    r2=r*(x+1)
    if ((x % 2 == 0)):
        x2_data.append(x*r2*np.cos(i))
        y2_data.append(x*r2*np.sin(i))
    elif ((x % 3 == 0)):
        x_data.append((x*r2*np.cos(i)))
        y_data.append((x*r2*np.sin(i)))
    else:
        x3_data.append((x*r2*np.cos(i)))
        y3_data.append((x*r2*np.sin(i)))
    line.set_xdata(x_data)
    line.set_ydata(y_data)
    line2.set_xdata(x2_data)
    line2.set_ydata(y2_data)
    line3.set_xdata(x3_data)
    line3.set_ydata(y3_data)
    line.set_linewidth(1)
    line2.set_linewidth(0.3)
    line3.set_linewidth(0.3)
    ax.set_xlim(-(i/500+1)*(i/500+1),(i/500+1)*(i/500+1))
    ax.set_ylim(-(i/500+1)*(i/500+1),(i/500+1)*(i/500+1))
    line.set_color('orange')
    line2.set_color('purple')
    line3.set_color('green')
    return line, line2, line3

z_data = []
count=0
for z in range(1, 6500):
    count=count+2.2
    z_data.append(count)


animation = FuncAnimation(fig, func=animation_frame, frames=z_data, interval=10, blit=True)


animation.save('passiflora2.mp4', dpi=500, bitrate=-1, codec="libx264", extra_args=['-pix_fmt','yuv420p'])
#plt.show()
end = time.time()
print(end - start)

#E1
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation

x_data = []
y_data = []

fig, ax = plt.subplots()
ax.set_xlim(-200, 200)
ax.set_ylim(-200,200)
line, = ax.plot(0,0)
r=1.2

def animation_frame(i):
    x_data.append(-r*i*np.cos(i*i)-i*np.cos(i))
    y_data.append(r*i*np.sin(i*i)+i*np.sin(i))

    line.set_xdata(x_data)
    line.set_ydata(y_data)
    line.set_linewidth(0.3)
    return line,


animation = FuncAnimation(fig, func=animation_frame, frames=np.arange(0, 132, 0.001), interval=40, blit=True)


#animation.save('E1.mp4', dpi=400, bitrate=-1, codec="libx264", extra_args=['-pix_fmt','yuv420p'])
plt.show()
print("done")