def run_galry(N, dt=1, duration=10, seed=20130318):
"""Return the median time interval between two successive paint refresh."""
prng = RandomState(seed)
data = prng.randn(N, 10)
fig = glplt.figure(figsize=(600, 600), autodestruct=duration * 1000)
fig.t0 = time.clock()
fig.times = []
fig.N = N
fig.plot(data.T)
fig.animate(callback, dt=dt * 0.001)
fig.show()
return 1.0 / np.median(fig.times)
def load(data):
fig = plt.figure(figsize=(600, 600), autodestruct=100)
fig.plot(data.T)
plt.show()
def set_a(self, a):
self.a = a
def callback(self):
x = int(512 * self.f0 / self.rate)
t = np.arange(0, x * float(self.rate) / self.f0) / float(self.rate)
return self.a * .75 * np.sin(2 * np.pi * self.f0 * t)
# Create the synthesizer.
rate = 44100
s = Synthesizer(rate)
p = Player(rate=rate, callback=s.callback)
# Create a Figure.
plt.figure(toolbar=False)
# VISUALS
# -------
# Number of discs.
n = 20
# Display n static discs with an opacity gradient.
color = np.ones((n, 4))
color[:,2] = 0
color[:,3] = np.linspace(0.01, 0.1, n)
plt.plot(np.zeros(n), np.zeros(n), 'o', color=color, ms=50, is_static=True)
# Global variable with the current disc positions.
position = np.zeros((n, 2))
data = f.root.RawData
except:
data = f.root.raw_data
nsamples, nchannels = data.shape
total_size = nsamples
freq = 20000.
dt = 1. / freq
duration = (data.shape[0] - 1) * dt
duration_initial = 5.
x = np.tile(np.linspace(0., duration, nsamples // MAXSIZE), (nchannels, 1))
y = np.zeros_like(x)+ np.linspace(-.9, .9, nchannels).reshape((-1, 1))
plt.figure(toolbar=False, show_grid=True)
plt.visual(MultiChannelVisual, x=x, y=y)
updater = DataUpdater(impatient=True)
SLICE = None
def change_channel_height(figure, parameter):
global CHANNEL_HEIGHT
CHANNEL_HEIGHT *= (1 + parameter)
figure.set_data(channel_height=CHANNEL_HEIGHT)
def pan(figure, parameter):
figure.process_interaction('Pan', parameter)
def anim(figure, parameter):
def run_galry(data):
fig = glplt.figure(figsize=(600, 600), autodestruct=1)
fig.plot(data.T)
glplt.show()
with tb.openFile('testm.h5', 'r') as f:
data = f.root.data
nsamples, nchannels = data.shape
total_size = nsamples
freq = 10000.
dt = 1. / freq
duration = (data.shape[0] - 1) * dt
duration_initial = 5.
x = np.tile(np.linspace(0., duration, nsamples // MAXSIZE), (nchannels, 1))
y = np.zeros_like(x)+ np.linspace(-.9, .9, nchannels).reshape((-1, 1))
plt.figure(toolbar=False, show_grid=True)
plt.visual(MultiChannelVisual, x=x, y=y)
updater = DataUpdater(impatient=True)
SLICE = None
def change_channel_height(figure, parameter):
global CHANNEL_HEIGHT
CHANNEL_HEIGHT *= (1 + parameter)
figure.set_data(channel_height=CHANNEL_HEIGHT)
def pan(figure, parameter):
figure.process_interaction('Pan', parameter)
def anim(figure, parameter):
