Small corrections in different functions

rampy/peak_area.py

@@ -48,10 +48,10 @@ def peakarea(shape,**options):
                 return area, esearea
             else:
                 return area
-
+            
         except ValueError:
             print("amp and HWHM should be provided")
-
+            
     elif (shape == "lorentzian") or (shape == "pseudovoigt") or (shape == "pearson7"): # other shapes: trapezoidal integration
         try:
             amp=options.get("amp")

rampy/spectranization.py

@@ -121,7 +121,9 @@ def shiftsp(sp, shift):
 
 
 def flipsp(sp):
-    """Flip an array along the row dimension (dim = 1) if the row values are in decreasing order.
+    """Flip or sort an array along the row dimension (dim = 1) if the row values are in decreasing order.
+
+    Starting from rampy v0.5, the new version is using argsort, such that the X values can be in any order.
 
     Parameters
     ----------
@@ -133,11 +135,7 @@ def flipsp(sp):
     sp : ndarray
         The same array but sorted such that the values in the first column are in increasing order.
     """
-    if sp[-1,0] < sp[0,0]:
-        sp = np.flip(sp,0)
-        return sp
-    else:
-        return sp
+    return sp[sp[:, 0].argsort()] # we actually use argsort to sort the array in ascending order
 
 def resample(x,y,x_new,**kwargs):
     """Resample a y signal associated with x, along the x_new values.

rampy/tlcorrection.py

@@ -103,6 +103,6 @@ def tlcorrection(x,y,temp,wave, **kwargs):
     elif normalisation == 'no':
         print("No normalisation...")
     else:
-        Error("Set the optional normalisation parameter to area, intensity or no.")
+        raise print("Set the optional normalisation parameter to area, intensity or no.")
 
     return x, ycorr, ese*ycorr