def transformed(self, y, x):
if np.any(np.isnan(y)):
y, _ = nan_extend_edges_and_interpolate(x, y)
if self.sub == 0:
newd = y - edge_baseline(x, y)
else:
newd = edge_baseline(x, y)
return newd
def transformed(self, y, x):
if np.any(np.isnan(y)):
y, _ = nan_extend_edges_and_interpolate(x, y)
if self.sub == 0:
newd = y - edge_baseline(x, y)
else:
newd = edge_baseline(x, y)
return newd
def transformed(self, y, x):
if self.zero_points:
baseline = linear_baseline(x, y, self.zero_points)
else:
baseline = edge_baseline(x, y)
return y - baseline if self.sub == 0 else baseline
def compute_baseline(self, x, y):
if np.any(np.isnan(y)):
y, _ = nan_extend_edges_and_interpolate(x, y)
return edge_baseline(x, y)
def compute_baseline(self, x, y):
return edge_baseline(x, y)
def compute_baseline(self, x, y):
if np.any(np.isnan(y)):
y, _ = nan_extend_edges_and_interpolate(x, y)
return edge_baseline(x, y)
def compute_baseline(self, x, y):
return edge_baseline(x, y)