Feat/dss cimprove master rebasing

cal_tools/cal_tools/plotting.py

@@ -106,7 +106,7 @@ def plot_badpix_3d(data, definitions, title=None, rebin_fac=2, azim=22.5):
 
 def create_constant_overview(constant, name, cells, vmin=None, vmax=None,
                              entries=3, out_folder=None, infix=None,
-                             badpixels=None, gmap=None):
+                             badpixels=None, gmap=None, marker=None):
     """
     Create a step plot for constant data across memory cells for requested
     gain entries
@@ -127,10 +127,14 @@ def create_constant_overview(constant, name, cells, vmin=None, vmax=None,
     :param gmap: A list with len equal to number of gain entires.
         if not supported, a default would be used for 3 entries.
         ['High gain', 'Medium gain', 'Low gain']
+    :param marker: A list of line markers for each gain entry.
+        default: ['']*entries
     :return:
     """
     if gmap is None:
         gmap = ['High gain', 'Medium gain', 'Low gain']
+    if marker is None:
+        marker = ['']*entries
     fig = plt.figure(figsize=(10, 5))
     ax = fig.add_subplot(111)
     for g in range(entries):
@@ -155,7 +159,7 @@ def create_constant_overview(constant, name, cells, vmin=None, vmax=None,
                           np.nanstd(d)])
 
             ax.step(np.arange(cells), np.nanmean(d, axis=(0,1)),
-                    label=f'{gmap[g]}', color=f'C{g}')
+                    label=gmap[g], color=f'C{g}', marker=marker[g])
             # Plotting good pixels only if bad-pixels were given
             if dbp is not None:
                 ax.step(np.arange(cells), np.nanmean(dbp, axis=(0, 1)),