x2 = L2*sin(y[:,2]) + x1
y2 = -L2*cos(y[:,2]) + y1
fig = plt.figure()
ax = fig.add_subplot(111, autoscale_on=False, xlim=(-2, 2), ylim=(-2, 2))
ax.grid()
line, = ax.plot([], [], 'o-', lw=2)
time_template = 'time = %.1fs'
time_text = ax.text(0.05, 0.9, '', transform=ax.transAxes)
def init():
line.set_data([], [])
time_text.set_text('')
return line, time_text
def animate(i):
thisx = [0, x1[i], x2[i]]
thisy = [0, y1[i], y2[i]]
line.set_data(thisx, thisy)
time_text.set_text(time_template%(i*dt))
return line, time_text
ani = animation.FuncAnimation(fig, animate, np.arange(1, len(y)),
interval=50, blit=False, init_func=init)
serve_figure.serve_figure(fig)
ax.grid()
line, = ax.plot([], [], 'o-', lw=2)
time_template = 'time = %.1fs'
time_text = ax.text(0.05, 0.9, '', transform=ax.transAxes)
def init():
line.set_data([], [])
time_text.set_text('')
return line, time_text
def animate(i):
thisx = [0, x1[i], x2[i]]
thisy = [0, y1[i], y2[i]]
line.set_data(thisx, thisy)
time_text.set_text(time_template % (i * dt))
return line, time_text
ani = animation.FuncAnimation(fig,
animate,
np.arange(1, len(y)),
interval=50,
blit=False,
init_func=init)
serve_figure.serve_figure(fig)
import numpy as np
from numpy import ma
from matplotlib import pyplot as plt
n = 12
x = np.linspace(-1.5, 1.5, n)
y = np.linspace(-1.5, 1.5, n * 2)
X, Y = np.meshgrid(x, y)
Qx = np.cos(Y) - np.cos(X)
Qz = np.sin(Y) + np.sin(X)
Qx = (Qx + 1.1)
Z = np.sqrt(X ** 2 + Y ** 2) / 5
Z = (Z - Z.min()) / (Z.max() - Z.min())
# The color array can include masked values:
Zm = ma.masked_where(np.fabs(Qz) < 0.5 * np.amax(Qz), Z)
fig = plt.figure()
ax = fig.add_subplot(121)
ax.set_facecolor("#bdb76b")
ax.pcolormesh(Qx, Qz, Z, shading='gouraud')
ax.set_title('Without masked values')
ax = fig.add_subplot(122)
ax.set_facecolor("#bdb76b")
col = ax.pcolormesh(Qx, Qz, Zm, shading='gouraud')
ax.set_title('With masked values')
serve_figure.serve_figure(fig, port=8888)
import serve_figure
import numpy as np
from matplotlib import pyplot as plt
n = 30
x = np.linspace(-1.5, 1.5, n)
fig = plt.figure()
ax = fig.add_subplot(111)
ax.set_facecolor("#bdb76b")
ax.plot(x, np.sin(x))
ax.set_title('Without masked values')
serve_figure.serve_figure(fig, port=8888)
