def testSmooth2d(self):
"""Test that a 2D smoothing is the same as two successive and
orthogonal 1D smoothings"""
x = numpy.arange(10000)
noise = 2 * numpy.random.random(10000) - 1
noise *= 0.05
y = x * (1 + noise)
y.shape = (100, 100)
smoothed_y = filters.smooth2d(y)
intermediate_smooth = numpy.zeros_like(y)
expected_smooth = numpy.zeros_like(y)
# smooth along first dimension
for i in range(0, y.shape[0]):
intermediate_smooth[i, :] = filters.smooth1d(y[i, :])
# smooth along second dimension
for j in range(0, y.shape[1]):
expected_smooth[:, j] = filters.smooth1d(intermediate_smooth[:, j])
for i in range(0, y.shape[0]):
for j in range(0, y.shape[1]):
self.assertAlmostEqual(smoothed_y[i, j],
expected_smooth[i, j])
def testSmooth2d(self):
"""Test that a 2D smoothing is the same as two successive and
orthogonal 1D smoothings"""
x = numpy.arange(10000)
noise = 2 * numpy.random.random(10000) - 1
noise *= 0.05
y = x * (1 + noise)
y.shape = (100, 100)
smoothed_y = filters.smooth2d(y)
intermediate_smooth = numpy.zeros_like(y)
expected_smooth = numpy.zeros_like(y)
# smooth along first dimension
for i in range(0, y.shape[0]):
intermediate_smooth[i, :] = filters.smooth1d(y[i, :])
# smooth along second dimension
for j in range(0, y.shape[1]):
expected_smooth[:, j] = filters.smooth1d(intermediate_smooth[:, j])
for i in range(0, y.shape[0]):
for j in range(0, y.shape[1]):
self.assertAlmostEqual(smoothed_y[i, j], expected_smooth[i, j])
def testSmooth1d(self):
"""Test the 1D smoothing against the formula
ys[i] = (y[i-1] + 2 * y[i] + y[i+1]) / 4 (for 1 < i < n-1)"""
smoothed_y = filters.smooth1d(self.y1)
for i in range(1, len(self.y1) - 1):
self.assertAlmostEqual(4 * smoothed_y[i],
self.y1[i-1] + 2 * self.y1[i] + self.y1[i+1])
def testSmooth1d(self):
"""Test the 1D smoothing against the formula
ys[i] = (y[i-1] + 2 * y[i] + y[i+1]) / 4 (for 1 < i < n-1)"""
smoothed_y = filters.smooth1d(self.y1)
for i in range(1, len(self.y1) - 1):
self.assertAlmostEqual(
4 * smoothed_y[i],
self.y1[i - 1] + 2 * self.y1[i] + self.y1[i + 1])
