def set_half(data, half):
# type: (Data, str) -> None
"""
Select half of the data, either "right" or "left".
"""
from sas.sascalc.dataloader.manipulations import Boxcut
if half == 'right':
data.mask += \
Boxcut(x_min=-np.inf, x_max=0.0, y_min=-np.inf, y_max=np.inf)(data)
if half == 'left':
data.mask += \
Boxcut(x_min=0.0, x_max=np.inf, y_min=-np.inf, y_max=np.inf)(data)
def set_top(data, cutoff):
# type: (Data, float) -> None
"""
Chop the top off the data, above *cutoff*.
"""
from sas.sascalc.dataloader.manipulations import Boxcut
data.mask += \
Boxcut(x_min=-np.inf, x_max=np.inf, y_min=-np.inf, y_max=cutoff)(data)
def _post_data(self):
"""
Get the limits of the boxsum and compute the sum of the pixel
contained in that region and the error on that sum
"""
from sas.sascalc.dataloader.manipulations import Boxcut
# # Data 2D for which the pixel will be summed
data = self.base.data
mask = data.mask
# # the region of the summation
x_min = self.horizontal_lines.x2
x_max = self.horizontal_lines.x1
y_min = self.vertical_lines.y2
y_max = self.vertical_lines.y1
mask = Boxcut(x_min=x_min, x_max=x_max, y_min=y_min, y_max=y_max)
if self.is_inside:
out = (mask(data) == False)
else:
out = (mask(data))
# self.base.data.mask=out
self.mask = mask
return out
