windpowerlib.wind_turbine.get_turbine_data_from_file¶

windpowerlib.wind_turbine.get_turbine_data_from_file(turbine_type, file_)[source]¶

Fetches power (coefficient) curve data from a csv file.

See example_power_curves.csv’ and `example_power_coefficient_curves.csv in example/data for the required format of a csv file. The self-provided csv file may contain more columns than the example files. Only columns containing wind speed and the corresponding power or power coefficient as well as the column ‘nominal_power’ are taken into account.

Parameters:	turbine_type (str) – Specifies the turbine type data is fetched for. file (str) – Specifies the source of the turbine data. See the example below for how to use the example data.
Returns:	Power curve or power coefficient curve (pandas.DataFrame) and nominal power (float). Power (coefficient) curve DataFrame contains power coefficient curve values (dimensionless) or power curve values in W as column names with the corresponding wind speeds in m/s.
Return type:	tuple(pandas.DataFrame, float)

Examples

>>> from windpowerlib import wind_turbine
>>> import os
>>> source = os.path.join(os.path.dirname(__file__), '../example/data',
...                       'example_power_curves.csv')
>>> example_turbine = {
...    'hub_height': 100,
...    'rotor_diameter': 70,
...    'name': 'DUMMY 3',
...    'fetch_curve': 'power_curve',
...    'data_source': source}
>>> e_t_1 = wind_turbine.WindTurbine(**example_turbine)
>>> print(e_t_1.power_curve['value'][7])
18000.0
>>> print(e_t_1.nominal_power)
150000