def test_show_vispy():
"""Some basic tests of show_vispy"""
if has_matplotlib():
n = 200
t = np.arange(n)
noise = np.random.RandomState(0).randn(n)
# Need, image, markers, line, axes, figure
plt.figure()
ax = plt.subplot(211)
ax.imshow(read_png(load_data_file('pyplot/logo.png')))
ax = plt.subplot(212)
ax.plot(t, noise, 'ko-')
plt.draw()
canvases = plt.show()
canvases[0].close()
else:
assert_raises(ImportError, plt.show)
from vispy.io import read_png, load_data_file
n = 200
freq = 10
fs = 100.
t = np.arange(n) / fs
tone = np.sin(2*np.pi*freq*t)
noise = np.random.RandomState(0).randn(n)
signal = tone + noise
magnitude = np.abs(np.fft.fft(signal))
freqs = np.fft.fftfreq(n, 1. / fs)
flim = n // 2
# Signal
fig = plt.figure()
ax = plt.subplot(311)
ax.imshow(read_png(load_data_file('pyplot/logo.png')))
ax = plt.subplot(312)
ax.plot(t, signal, 'k-')
# Frequency content
ax = plt.subplot(313)
idx = np.argmax(magnitude[:flim])
ax.text(freqs[idx], magnitude[idx], 'Max: %s Hz' % freqs[idx],
verticalalignment='top')
ax.plot(freqs[:flim], magnitude[:flim], 'r-o')
plt.draw()
# NOTE: show() has currently been overwritten to convert to vispy format, so:
from vispy.io import read_png, load_data_file
n = 200
freq = 10
fs = 100.
t = np.arange(n) / fs
tone = np.sin(2 * np.pi * freq * t)
noise = np.random.RandomState(0).randn(n)
signal = tone + noise
magnitude = np.abs(np.fft.fft(signal))
freqs = np.fft.fftfreq(n, 1. / fs)
flim = n // 2
# Signal
fig = plt.figure()
ax = plt.subplot(311)
ax.imshow(read_png(load_data_file('pyplot/logo.png')))
ax = plt.subplot(312)
ax.plot(t, signal, 'k-')
# Frequency content
ax = plt.subplot(313)
idx = np.argmax(magnitude[:flim])
ax.text(freqs[idx],
magnitude[idx],
'Max: %s Hz' % freqs[idx],
verticalalignment='top')
ax.plot(freqs[:flim], magnitude[:flim], 'k-o')
plt.draw()