Minor changes in notebook

Author: Birgit Schachler

example/basic_example.ipynb

@@ -147,22 +147,26 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "To initialise your specific turbine you need a dictionary that contains your basic parameters. A turbine is defined by its nominal power, hub height, rotor diameter, and power or power coefficient curve.\n",
+    "To initialise a specific turbine you need a dictionary that contains the basic parameters. A turbine is defined by its nominal power, hub height, rotor diameter, and power or power coefficient curve.\n",
     "\n",
-    "There are two ways to initialise a WindTurbine object in the windpowerlib. You can either specify your own turbine, as done below for 'myTurbine' or fetch power and/or power coefficient curve data from data files provided by the windpowerlib, as done for the 'enerconE126'.\n",
+    "There are two ways to initialise a WindTurbine object in the windpowerlib. You can either specify your own turbine, as done below for 'myTurbine', or fetch power and/or power coefficient curve data from data files provided by the windpowerlib, as done for the 'enerconE126'.\n",
     "\n",
     "You can execute the following to get a list of all wind turbines for which power or power coefficient curves are provided."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
+    "# get power curves\n",
     "# print names of wind turbines for which power curves are provided (default)\n",
     "wt.get_turbine_types()\n",
     "\n",
+    "# get power coefficient curves\n",
     "# write names of wind turbines for which power coefficient curves are provided to 'turbines' DataFrame\n",
     "turbines = wt.get_turbine_types(filename='cp_curves.csv', print_out=False)\n",
     "# find all Vestas in 'turbines' DataFrame\n",
@@ -186,19 +190,28 @@
     "    'p_values': pd.DataFrame(\n",
     "        data={'p': [p * 1000 for p in [0.0, 26.0, 180.0, 1500.0, 3000.0, 3000.0]]},  # in W\n",
     "        index=[0.0, 3.0, 5.0, 10.0, 15.0, 25.0])\n",
-    "    }\n",
-    "\n",
+    "    }  \n",
+    "# initialise WindTurbine objects\n",
+    "my_turbine = wt.WindTurbine(**myTurbine)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
     "# specification of wind turbine where power curve is provided\n",
-    "# if you want to use the power coefficient curve add {}'fetch_curve': 'cp'} to the dictionary\n",
+    "# if you want to use the power coefficient curve add {'fetch_curve': 'cp'} to the dictionary\n",
     "enerconE126 = {\n",
     "    'turbine_name': 'ENERCON E 126 7500',  # Turbine name as in register\n",
     "    'hub_height': 135,  # in m\n",
     "    'd_rotor': 127  # in m\n",
     "    }\n",
-    "    \n",
     "# initialise WindTurbine objects\n",
-    "e126 = wt.WindTurbine(**enerconE126)\n",
-    "my_turbine = wt.WindTurbine(**myTurbine)"
+    "e126 = wt.WindTurbine(**enerconE126)"
    ]
   },
   {
@@ -213,9 +226,12 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
+    "# power output calculation for my_turbine\n",
     "# initialise ModelChain with default parameters and use run_model method to calculate power output\n",
     "mc_my_turbine = modelchain.ModelChain(my_turbine).run_model(\n",
     "    weather, data_height)\n",
@@ -226,9 +242,12 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
+    "# power output calculation for e126\n",
     "# own specifications for ModelChain setup\n",
     "modelchain_data = {\n",
     "    'obstacle_height': 0,              # default: 0\n",
@@ -272,7 +291,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "# plot turbine power output\n",