diff --git a/Notebooks/DrawMaps.ipynb b/Notebooks/DrawMaps.ipynb
index 1d54b84..ecdbe82 100644
--- a/Notebooks/DrawMaps.ipynb
+++ b/Notebooks/DrawMaps.ipynb
@@ -20,7 +20,7 @@
     "import numpy as np\n",
     "import geopandas as gpd\n",
     "from scipy.sparse import coo_matrix,csr_matrix,save_npz,load_npz\n",
-    "%matplotlib widget\n",
+    "%matplotlib inline\n",
     "from IPython.display import set_matplotlib_formats\n",
     "set_matplotlib_formats('retina')\n",
     "import os\n",
@@ -37,7 +37,8 @@
     "import matplotlib.ticker as ticker\n",
     "from collections import Counter\n",
     "import matplotlib.patches as mpatches\n",
-    "import matplotlib as mpl"
+    "import matplotlib as mpl\n",
+    "os.makedirs(\"../Figures/\", exist_ok=True)"
    ]
   },
   {
@@ -271,8 +272,8 @@
     "        # ax.set_extent([-30, 150, -70, 70])\n",
     "        # ax.stock_img()\n",
     "        ax.set_global()\n",
-    "        if(not useCircular):\n",
-    "            ax.set_extent([-30, 150, -70, 70])\n",
+    "#         if(not useCircular):\n",
+    "#             ax.set_extent([-30, 150, -70, 70])\n",
     "        ax.add_feature(cfeature.LAND,facecolor='gray',alpha=1.0)\n",
     "        ax.add_feature(cfeature.OCEAN,facecolor=(0.7,0.7,0.7),alpha=1.0)\n",
     "        # ax.add_feature(cfeature.OCEAN)\n",
@@ -294,7 +295,7 @@
     "                                              lw=0.1,\n",
     "                                              ec=(0.1,0.1,0.1,1.0)))\n",
     "            if(name):\n",
-    "                ax.text((region[3]+region[2])*0.5, (region[1]), name,horizontalalignment='center',verticalalignment='bottom', transform=ccrs.Geodetic(),zorder=6)\n",
+    "                ax.text((region[3]+region[2])*0.5, (region[0]+region[1])*0.5, name,horizontalalignment='center',verticalalignment='center', transform=ccrs.Geodetic(),zorder=6)\n",
     "  \n",
     "      \n",
     "        norm = mpl.colors.Normalize(vmin=maxPositivePValue, vmax=np.log10(thresholdCorrelation))\n",
@@ -341,7 +342,7 @@
     "  \n",
     "        print(maxPositivePValue);\n",
     "        if(exportName):\n",
-    "            fig.savefig(\"Figures/\"+exportName+\".pdf\");\n",
+    "            fig.savefig(\"../Figures/\"+exportName+\".pdf\");\n",
     "        plt.show()\n",
     "\n",
     "    fig, ax = plt.subplots(figsize=(6, 1))\n",
@@ -376,7 +377,7 @@
     "                                   format=ticker.FuncFormatter(fmt))\n",
     "  \n",
     "    if(exportName):\n",
-    "        plt.savefig(\"Figures/cm_%s.pdf\"%exportName)\n",
+    "        plt.savefig(\"../Figures/cm_%s.pdf\"%exportName)\n",
     "    fig.show()\n"
    ]
   },
@@ -388,7 +389,7 @@
    "source": [
     "import warnings\n",
     "warnings.filterwarnings(\"ignore\")\n",
-    "\n",
+    "# use the name ofthe file\n",
     "plotConfigs = [\n",
     "# (\"LaggedCorrelation\",0,None),\n",
     "# (\"LaggedCorrelation\",30,None),\n",
@@ -411,7 +412,7 @@
     "          extraEpsilonFactor = 0.5,\n",
     "          min_samples = 5,\n",
     "          min_points = 30,\n",
-    "#           exportName=\"region_%s_d%d_l%d_v3_complete\"%(propertyName,windowDays,maxLag),\n",
+    "          exportName=\"region_%s_d%d_l%d_v3_complete\"%(propertyName,windowDays,maxLag),\n",
     "          maxPositivePValue=maxPositivePValue,\n",
     "         );"
    ]
@@ -419,9 +420,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python [conda env:climate]",
+   "display_name": "Python [conda env:teleconnectionsgranger]",
    "language": "python",
-   "name": "conda-env-climate-py"
+   "name": "conda-env-teleconnectionsgranger-py"
   },
   "language_info": {
    "codemirror_mode": {
@@ -433,7 +434,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.6"
+   "version": "3.8.6"
   }
  },
  "nbformat": 4,