diff --git a/binnedLikelihood.ipynb b/binnedLikelihood.ipynb
index 6298284521a3596418ec6383fe3b466a56bb44da..1e29157af3385291a5d8f32d3f3d393178bcb4f0 100644
--- a/binnedLikelihood.ipynb
+++ b/binnedLikelihood.ipynb
@@ -508,25 +508,6 @@
     "m.get_param_states()"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/mauro/anaconda3/envs/fits/lib/python3.7/site-packages/iminuit/_minuit_methods.py:133: LogWarning: x is really small return 0\n",
-      "  pts = self.mncontour(x, y, numpoints, sigma)[2]\n"
-     ]
-    }
-   ],
-   "source": [
-    "plt.figure(figsize=[5,5])\n",
-    "m.draw_mncontour('loc', 'scale', nsigma=1, numpoints=100)  # nsigma=4 says: draw four contours from sigma=1 "
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
diff --git a/unbinnedLikelihood.ipynb b/unbinnedLikelihood.ipynb
index 757612a9c63a270978e3a034216e2259e5a2c831..1b3f6c63911c14a90e2067dc57b62914e2ddf17f 100644
--- a/unbinnedLikelihood.ipynb
+++ b/unbinnedLikelihood.ipynb
@@ -828,27 +828,6 @@
     "plt.figure(figsize=[5,5])\n",
     "m.draw_mncontour('mean', 'sigma', nsigma=4, numpoints=100)  # nsigma=4 says: draw four contours from sigma=1 to 4"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {