def noise_data(self, data):
data = data.copy()
data = derampMatrix(trimMatrix(data))
data = trimMatrix(data)
data[num.isnan(data)] = 0.
self._noise_data = data
self._clear()
def test_trim_matrix():
arr = num.full((100, 100), num.nan)
arr[-1, -1] = 1.0
assert util.trimMatrix(arr).shape == (1, 1)
arr[-2, -2] = 1.0
assert util.trimMatrix(arr).shape == (2, 2)
arr[num.diag_indices_from(arr)] = 1.0
assert util.trimMatrix(arr).shape == arr.shape
def _get_noise_data_grid(self):
if self._noise_data_grid is None:
scene = self.scene
llE, llN = scene.frame.mapENMatrix(*self.noise_coord[:2])
sE, sN = scene.frame.mapENMatrix(*self.noise_coord[2:])
slice_E = slice(llE, llE + sE + 1)
slice_N = slice(llN, llN + sN + 1)
gridE = scene.frame.gridEmeter[slice_N, slice_E]
gridN = scene.frame.gridNmeter[slice_N, slice_E]
gridE = trimMatrix(self.noise_data, data=gridE)
gridN = trimMatrix(self.noise_data, data=gridN)
self._noise_data_grid = (gridE, gridN)
return self._noise_data_grid
