minor fix

py4DSTEM/process/diffraction/flowlines.py

@@ -800,7 +800,7 @@ def make_flowline_rainbow_image(
 def make_flowline_rainbow_legend(
     im_size=np.array([256, 256]),
     sym_rotation_order=2,
-    theta_offset=0.0,
+    theta_offset_degrees=0.0,
     white_background=False,
     return_image=False,
     radial_range=np.array([0.45, 0.9]),
@@ -813,7 +813,7 @@ def make_flowline_rainbow_legend(
     Args:
         im_size (np.array):         Size of legend image in pixels.
         sym_rotation_order (int):   rotational symmety for colouring
-        theta_offset (float):       Offset the anglular coloring by this value in radians.
+        theta_offset_degrees (float):       Offset the anglular coloring by this value in radians.
         white_background (bool):    For either color or greyscale output, switch to white background (from black).
         return_image (bool):        Return the image array.
         radial_range (np.array):    Inner and outer radius for the legend ring.
@@ -827,17 +827,17 @@ def make_flowline_rainbow_legend(
     # Coordinates
     x = np.linspace(-1, 1, im_size[0])
     y = np.linspace(-1, 1, im_size[1])
-    ya, xa = np.meshgrid(-y, x)
+    ya, xa = np.meshgrid(y, x)
     ra = np.sqrt(xa**2 + ya**2)
-    ta = np.arctan2(ya, xa) + theta_offset
+    ta = np.arctan2(ya, xa) + np.deg2rad(theta_offset_degrees)
     ta_sym = ta * sym_rotation_order
 
     # mask
     mask = np.logical_and(ra > radial_range[0], ra < radial_range[1])
 
     # rgb image
     z = mask * np.exp(1j * ta_sym)
-    hue_start = -90
+    hue_start = 0
     amp = np.abs(z)
     vmin = np.min(amp)
     vmax = np.max(amp)