Try workaround - don't import functions from external python file

Author: birgits

example/turbine_cluster_modelchain_example.ipynb

@@ -28,7 +28,9 @@
    "source": [
     "### Imports and initialization of wind turbines\n",
     "\n",
-    "The import of weather data and the initialization of wind turbines is done as in the ``modelchain_example``. Be aware that currently for wind farm and wind cluster calculations wind turbines need to have a power curve as some calculations do not work with the power coefficient curve."
+    "The import of weather data and the initialization of wind turbines are taken from the ``modelchain_example``. See there for more information.\n",
+    "\n",
+    "Also, be aware that currently for wind farm and wind cluster calculations wind turbines need to have a power curve as some calculations do not work with the power coefficient curve."
    ]
   },
   {
@@ -37,10 +39,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "import os\n",
     "import pandas as pd\n",
     "\n",
-    "import modelchain_example as mc_e\n",
-    "from windpowerlib import TurbineClusterModelChain, WindTurbineCluster, WindFarm\n",
+    "from windpowerlib import create_power_curve, TurbineClusterModelChain, WindFarm, WindTurbine, WindTurbineCluster\n",
     "\n",
     "import logging\n",
     "logging.getLogger().setLevel(logging.DEBUG)"
@@ -59,21 +61,106 @@
       "height                            10       80           2      10        0\n",
       "2010-01-01 00:00:00+01:00    5.32697  7.80697      267.60  267.57  98405.7\n",
       "2010-01-01 01:00:00+01:00    5.46199  7.86199      267.60  267.55  98382.7\n",
-      "2010-01-01 02:00:00+01:00    5.67899  8.59899      267.61  267.54  98362.9\n",
-      "\n",
-      "nominal power of my_turbine: 3000000.0\n"
+      "2010-01-01 02:00:00+01:00    5.67899  8.59899      267.61  267.54  98362.9\n"
+     ]
+    }
+   ],
+   "source": [
+    "def get_weather_data(filename='weather.csv', **kwargs):\n",
+    "    r\"\"\"\n",
+    "    Imports weather data from a file.\n",
+    "\n",
+    "    \"\"\"\n",
+    "\n",
+    "    if 'datapath' not in kwargs:\n",
+    "        kwargs['datapath'] = os.path.dirname(__file__)\n",
+    "    \n",
+    "    file = os.path.join(kwargs['datapath'], filename)\n",
+    "    \n",
+    "    # download example weather data file in case it does not yet exist\n",
+    "    if not os.path.isfile(file):\n",
+    "        logging.debug(\"Download weather data for example.\")\n",
+    "        req = requests.get(\"https://osf.io/59bqn/download\")\n",
+    "        with open(file, \"wb\") as fout:\n",
+    "            fout.write(req.content)\n",
+    "            \n",
+    "    # read csv file \n",
+    "    weather_df = pd.read_csv(\n",
+    "        file,\n",
+    "        index_col=0,\n",
+    "        header=[0, 1],\n",
+    "    )\n",
+    "    weather_df.index = pd.to_datetime(weather_df.index, utc=True)\n",
+    "    \n",
+    "    # change time zone\n",
+    "    weather_df.index = weather_df.index.tz_convert(\n",
+    "        'Europe/Berlin')\n",
+    "    \n",
+    "    return weather_df\n",
+    "\n",
+    "# Read weather data from csv\n",
+    "weather = get_weather_data(filename='weather.csv', datapath='')\n",
+    "print(weather[['wind_speed', 'temperature', 'pressure']][0:3])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Nominal power of my_turbine: 3000000.0\n"
      ]
     }
    ],
    "source": [
-    "# Get weather data\n",
-    "weather = mc_e.get_weather_data('weather.csv')\n",
-    "print(weather[['wind_speed', 'temperature', 'pressure']][0:3])\n",
+    "def initialize_wind_turbines():\n",
+    "    r\"\"\"\n",
+    "    Initializes three WindTurbine objects.\n",
+    "\n",
+    "    \"\"\"\n",
+    "    enercon_e126 = {\n",
+    "        \"turbine_type\": \"E-126/4200\",  # turbine type as in register\n",
+    "        \"hub_height\": 135,  # in m\n",
+    "    }\n",
+    "    e126 = WindTurbine(**enercon_e126)\n",
+    "\n",
+    "    my_turbine = {\n",
+    "        \"nominal_power\": 3e6,  # in W\n",
+    "        \"hub_height\": 105,  # in m\n",
+    "        \"power_curve\": pd.DataFrame(\n",
+    "            data={\n",
+    "                \"value\": [\n",
+    "                    p * 1000\n",
+    "                    for p in [0.0, 26.0, 180.0, 1500.0, 3000.0, 3000.0]\n",
+    "                ],  # in W\n",
+    "                \"wind_speed\": [0.0, 3.0, 5.0, 10.0, 15.0, 25.0],\n",
+    "            }\n",
+    "        ),  # in m/s\n",
+    "    }\n",
+    "    my_turbine = WindTurbine(**my_turbine)\n",
+    "\n",
+    "    my_power = pd.Series(\n",
+    "        [0.0, 39000.0, 270000.0, 2250000.0, 4500000.0, 4500000.0]\n",
+    "    )\n",
+    "    my_wind_speed = (0.0, 3.0, 5.0, 10.0, 15.0, 25.0)\n",
+    "\n",
+    "    my_turbine2 = {\n",
+    "        \"nominal_power\": 6e6,  # in W\n",
+    "        \"hub_height\": 115,  # in m\n",
+    "        \"power_curve\": create_power_curve(\n",
+    "            wind_speed=my_wind_speed, power=my_power\n",
+    "        ),\n",
+    "    }\n",
+    "    my_turbine2 = WindTurbine(**my_turbine2)\n",
+    "\n",
+    "    return my_turbine, e126, my_turbine2\n",
     "\n",
-    "# Initialize wind turbines\n",
-    "my_turbine, e126, my_turbine2 = mc_e.initialize_wind_turbines()\n",
-    "print()\n",
-    "print('nominal power of my_turbine: {}'.format(my_turbine.nominal_power))"
+    "my_turbine, e126, my_turbine2 = initialize_wind_turbines()\n",
+    "print('Nominal power of my_turbine: {}'.format(my_turbine.nominal_power))"
    ]
   },
   {