Add a temporary workaround for integral area

pyzebra/app/panel_ccl_integrate.py

@@ -371,7 +371,6 @@ def create():
             # ("Pseudo Voigt1", "pseudovoigt1"),
         ],
         width=145,
-        disabled=True,
     )
     fitparams_add_dropdown.on_click(fitparams_add_dropdown_callback)
 
@@ -406,7 +405,7 @@ def create():
 
             fitparams_select.value = []
 
-    fitparams_remove_button = Button(label="Remove fit function", width=145, disabled=True)
+    fitparams_remove_button = Button(label="Remove fit function", width=145)
     fitparams_remove_button.on_click(fitparams_remove_button_callback)
 
     def fitparams_factory(function):

pyzebra/ccl_io.py

@@ -3,6 +3,7 @@ import re
 from collections import defaultdict
 
 import numpy as np
+from scipy.integrate import simpson, trapezoid
 
 META_VARS_STR = (
     "instrument",
@@ -277,8 +278,12 @@ def export_1D(data, path, area_method=AREA_METHODS[0], lorentz=False, hkl_precis
                 break
         else:
             # no peak functions in a fit model
-            area_n = np.nan
-            area_s = np.nan
+            # assume this is a background fit, so do numeric integration
+            y_val = scan["Counts"]
+            x_val = scan[scan["scan_motor"]]
+            y_bkg = scan["fit"].eval(x=x_val)
+            area_n = simpson(y_val, x=x_val) - trapezoid(y_bkg, x=x_val)
+            area_s = np.sqrt(area_n)
 
         # apply lorentz correction to area
         if lorentz: