Shorten code lines to 79 characters

Author: Birgit Schachler

example/basic_example.ipynb

@@ -165,7 +165,8 @@
     "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",
+    "# write names of wind turbines for which power coefficient curves are provided\n",
+    "# to 'turbines' DataFrame\n",
     "turbines = wt.get_turbine_types(filename='cp_curves.csv', print_out=False)\n",
     "# find all Vestas in 'turbines' DataFrame\n",
     "print(turbines[turbines[\"turbine_id\"].str.contains(\"ENERCON\")])"
@@ -179,14 +180,16 @@
    },
    "outputs": [],
    "source": [
-    "# specification of own wind turbine (Note: power coefficient values and nominal power have to be in Watt)\n",
+    "# specification of own wind turbine (Note: power coefficient values and\n",
+    "# nominal power have to be in Watt)\n",
     "myTurbine = {\n",
     "    'turbine_name': 'myTurbine',\n",
     "    'nominal_power': 3e6,  # in W\n",
     "    'hub_height': 105,  # in m\n",
     "    'd_rotor': 90,  # in m\n",
     "    '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",
+    "        data={'p': [p * 1000 for p in\n",
+    "                    [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])  # in m/s\n",
     "    }  \n",
     "# initialise WindTurbine object\n",
@@ -202,7 +205,8 @@
    "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'}\n",
+    "# to the dictionary\n",
     "enerconE126 = {\n",
     "    'turbine_name': 'ENERCON E 126 7500',  # turbine name as in register\n",
     "    'hub_height': 135,  # in m\n",
@@ -228,7 +232,8 @@
    "outputs": [],
    "source": [
     "# power output calculation for my_turbine\n",
-    "# initialise ModelChain with default parameters and use run_model method to calculate power output\n",
+    "# initialise ModelChain with default parameters and use run_model\n",
+    "# method to calculate power output\n",
     "mc_my_turbine = modelchain.ModelChain(my_turbine).run_model(\n",
     "    weather, data_height)\n",
     "# write power output timeseries to WindTurbine object\n",
@@ -250,7 +255,8 @@
     "    'power_output_model': 'p_values',  # 'p_values' (default) or 'cp_values'\n",
     "    'density_corr': True,              # False (default) or True\n",
     "    'hellman_exp': None}               # None (default) or None\n",
-    "# initialise ModelChain with own specifications and use run_model method to calculate power output\n",
+    "# initialise ModelChain with own specifications and use run_model method to\n",
+    "# calculate power output\n",
     "mc_e126 = modelchain.ModelChain(e126, **modelchain_data).run_model(\n",
     "    weather, data_height)\n",
     "# write power output timeseries to WindTurbine object\n",