Fix style issues

Author: uvchik

windpowerlib/modelchain.py

@@ -7,7 +7,6 @@
 SPDX-License-Identifier: MIT
 """
 import logging
-import pandas as pd
 from windpowerlib import (
     wind_speed,
     density,
@@ -501,7 +500,7 @@ def run_model(self, weather_df):
         ---------
         >>> import numpy as np
         >>> import pandas as pd
-        >>> weather_df=pd.DataFrame(np.random.rand(2,6),
+        >>> my_weather_df = pd.DataFrame(np.random.rand(2,6),
         ...                           index=pd.date_range('1/1/2012',
         ...                                               periods=2,
         ...                                               freq='H'),
@@ -513,7 +512,7 @@ def run_model(self, weather_df):
         ...                                              'roughness_length']),
         ...                                    np.array([10, 80, 10, 80,
         ...                                             10, 0])])
-        >>> weather_df.columns.get_level_values(0)[0]
+        >>> my_weather_df.columns.get_level_values(0)[0]
         'wind_speed'
 
         """

windpowerlib/tools.py

@@ -6,8 +6,6 @@
 SPDX-License-Identifier: MIT
 """
 import numpy as np
-import warnings
-import pandas as pd
 
 
 class WindpowerlibUserWarning(UserWarning):

windpowerlib/turbine_cluster_modelchain.py

@@ -8,7 +8,6 @@
 SPDX-License-Identifier: MIT
 """
 import logging
-import pandas as pd
 from windpowerlib import wake_losses
 from windpowerlib.modelchain import ModelChain, data
 
@@ -273,7 +272,7 @@ def run_model(self, weather_df):
         ---------
         >>> import numpy as np
         >>> import pandas as pd
-        >>> weather_df=pd.DataFrame(np.random.rand(2,6),
+        >>> my_weather_df = pd.DataFrame(np.random.rand(2,6),
         ...                           index=pd.date_range('1/1/2012',
         ...                                               periods=2,
         ...                                               freq='H'),
@@ -285,7 +284,7 @@ def run_model(self, weather_df):
         ...                                              'roughness_length']),
         ...                                    np.array([10, 80, 10, 80,
         ...                                             10, 0])])
-        >>> weather_df.columns.get_level_values(0)[0]
+        >>> my_weather_df.columns.get_level_values(0)[0]
         'wind_speed'
 
         """