diff --git a/examples/AnalysisThermoML2.ipynb b/examples/AnalysisThermoML2.ipynb
index df37344..02d967f 100644
--- a/examples/AnalysisThermoML2.ipynb
+++ b/examples/AnalysisThermoML2.ipynb
@@ -119,7 +119,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -138,7 +138,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -158,7 +158,7 @@
     "for _,df in molality_data.groupby(\"Solvent: Mole fraction of choline chloride\"):\n",
     "\n",
     "    for _, dff in df.groupby(\"Temperature, K\"):\n",
-    "        ax.errorbar( dff[\"Pressure, kPa\"]*1000, dff[\"mean\"],dff[\"95_confidence\"]/2, label=r'$x_\\mathrm{Ch^+,Cl^-} =$' + f'{dff[\"Solvent: Mole fraction of choline chloride\"].iloc[0]}; T = {dff['Temperature, K'].iloc[0]}' )\n",
+    "        ax.errorbar( dff[\"Pressure, kPa\"]*1000, dff[\"mean\"],dff[\"95_confidence\"]/2, label=r'$x_\\mathrm{Ch^+,Cl^-} =$' + f'{dff[\"Solvent: Mole fraction of choline chloride\"].iloc[0]}; T = {dff[\"Temperature, K\"].iloc[0]}' )\n",
     "\n",
     "ax.legend()\n",
     "ax.set_xlabel(\"Pressure / Pa\")\n",