fix typos

Author: muelleram

notebooks/example_simple_dynamic_charactization.ipynb

@@ -30,7 +30,7 @@
     "    project_name = \"__test_database__\"\n",
     "    if project_name in bd.projects:\n",
     "        bd.projects.delete_project(project_name)\n",
-    "        #bd.projects.purge_deleted_directories()\n",
+    "        bd.projects.purge_deleted_directories()\n",
     "\n",
     "    bd.projects.set_current(project_name)\n",
     "\n",
@@ -655,7 +655,7 @@
    "id": "a76e97e9",
    "metadata": {},
    "source": [
-    "Note that the tail of the curve stops in 2124 (100 years after the functional unit), in 2134 (100 years after the emission) in the figure a few cells above."
+    "Note that the tail of the curve stops in 21**2**4 (100 years after the functional unit), in 21**3**4 (100 years after the emission) in the figure a few cells above."
    ]
   },
   {
@@ -799,7 +799,7 @@
     "    project_name = \"__test_database1__\"\n",
     "    if project_name in bd.projects:\n",
     "        bd.projects.delete_project(project_name)\n",
-    "        #bd.projects.purge_deleted_directories()\n",
+    "        bd.projects.purge_deleted_directories()\n",
     "\n",
     "    bd.projects.set_current(project_name)\n",
     "\n",
@@ -1113,7 +1113,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 26,
    "id": "a2027c21",
    "metadata": {},
    "outputs": [
@@ -1208,13 +1208,15 @@
     "df = pd.DataFrame(\n",
     "        {'Time horizon': list(gwp_fixed_TH.keys()), \n",
     "        'GWP (fixed time horizon)': list(gwp_fixed_TH.values()),\n",
-    "        'GWP (flexible time horizon)' : list(gwp_flexible_TH.values())})\t\n"
+    "        'GWP (flexible time horizon)' : list(gwp_flexible_TH.values())})\t\n",
+    "\n",
+    "\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
-   "id": "ef02c2aa",
+   "execution_count": 27,
+   "id": "f62763da",
    "metadata": {},
    "outputs": [
     {
@@ -1322,21 +1324,21 @@
        "9           500                 30.052980                    29.977030"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "df "
+    "df"
    ]
   },
   {
    "cell_type": "markdown",
    "id": "8e25613c",
    "metadata": {},
    "source": [
-    "One can see that an increase in time horizon leads to smaller differences between fixed (time horizon starts at FU for all flows) and flexible timoe horizons (time horizon starts at each emissions seperaterly). An increase in TH also leads to lower overall scores, because the system contains multiple short-lived GHG, such as CH4 and N2O, whose CO2-equivalance value decreases when assessing longer time horizons."
+    "One can see that a longer time horizon leads to smaller differences between fixed (time horizon starts at FU for all flows) and flexible time horizons (time horizon starts at each emissions seperately). An increase in time horizon also leads to lower overall scores, because the system contains multiple short-lived GHGs, such as CH4 and N2O, whose CO2-equivalence value decreases when assessing longer time horizons."
    ]
   }
  ],