-
foxes.output.TurbineTypeCurves.plot_curves(turbine_type, variables, P_max=
None
, titles=None
, x_label=None
, y_labels=None
, ws_min=0.0
, ws_max=30.0
, ws_step=0.1
, ti=0.05
, rho=1.225
, axs=None
, figsize=None
, pmax_args={}
, **kwargs)[source] Plot the power or ct curve.
Parameters¶
- turbine_type: str
The turbine type name from the model book
- variables: str or list of str
For example FV.P or FV.CT
- P_max: float, optional
The power mask value, if of interest
- titles: list of str, optional
The plot titles, one for each variable
- x_label: str, optional
The x axis label
- y_labels: list of str, optional
The y axis lables, one for each variable
- ws_min: float
The minimal wind speed
- ws_max: float
The maximal wind speed
- ws_step: float
The wind speed step size
- ti: float
The TI value
- rho: float
The air density value
- axs: list of pyplot.Axis, optional
The axis, one for each variable
- figsize: tuple
The figsize argument for plt.subplots() in case ax is not provided
- pmax_args: dict, optional
Additionals parameters for plt.plot() for power mask case
- kwargs: dict, optional
Additional parameters for plt.plot()
Returns¶
- axs: list of pyplot.Axis
The plot axes, one for each variable