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* A WindpowerlibUserWarning is raised if the weather data contain nan/null values. If you are aware of the nan-values you can filter the warning. (`PR 96 <https://github.com/wind-python/windpowerlib/pull/96>`_)
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* Raise an error if diameter of rotor is greater than the hub height.
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* Raise an error if "farm efficiency" method is chosen but no farm efficiency is set.
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* Data height in weather data DataFrame can be of type string and will be converted to numeric internally. This makes is easier to read a csv-file with a header using pandas read_csv function.
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