From 2e737df2bfeec7b6df966165eebc1dc5db6ebd78 Mon Sep 17 00:00:00 2001
From: JakHolzer <53743814+JakHolzer@users.noreply.github.com>
Date: Wed, 14 Oct 2020 16:43:33 +0200
Subject: [PATCH] Update fit2.py

Second apology, that broke the code in another way, hopefully now its alrigh
---
 pyzebra/fit2.py | 14 ++++++++++----
 1 file changed, 10 insertions(+), 4 deletions(-)

diff --git a/pyzebra/fit2.py b/pyzebra/fit2.py
index dbb7179..ff8166d 100644
--- a/pyzebra/fit2.py
+++ b/pyzebra/fit2.py
@@ -67,19 +67,25 @@ def fitccl(
         # return in case of more than 1 peaks
         print("More than 1 peak, measurement skipped")
         return
-
     if binning is None or binning == 0 or binning == 1:
         x = list(meas["om"])
         y = list(meas["Counts"])
         y_err = list(np.sqrt(y)) if meas.get("sigma", None) is None else list(meas["sigma"])
-        centre = x[int(meas["peak_indexes"])]
+        print(meas["peak_indexes"])
+        if not meas["peak_indexes"]:
+            centre = np.mean(x)
+        else:
+            centre = x[int(meas["peak_indexes"])]
     else:
         x = list(meas["om"])
-        centre = x[int(meas["peak_indexes"])]
+        if not meas["peak_indexes"]:
+            centre = np.mean(x)
+        else:
+            centre = x[int(meas["peak_indexes"])]
         x = bin_data(x, binning)
         y = list(meas["Counts"])
         y_err = list(np.sqrt(y)) if meas.get("sigma", None) is None else list(meas["sigma"])
-        combined = bin_data(create_uncertanities(y, y_err), binning)
+        combined = bin_data(create_uncertanities(y,y_err), binning)
         y = [combined[i].n for i in range(len(combined))]
         y_err = [combined[i].s for i in range(len(combined))]