update models and misc_plots

wind_up/models.py

@@ -293,11 +293,6 @@ def check_non_wtg_ref_names(self: "WindUpConfig") -> "WindUpConfig":
                 raise ValueError(msg)
         return self
 
-    @model_validator(mode="after")
-    def make_out_dir(self: "WindUpConfig") -> "WindUpConfig":
-        self.out_dir.mkdir(parents=True, exist_ok=True)
-        return self
-
     @model_validator(mode="after")
     def print_summary(self: "WindUpConfig") -> "WindUpConfig":
         logger.info(f"loaded WindUpConfig assessment_name: {self.assessment_name}")

wind_up/plots/misc_plots.py

@@ -16,14 +16,6 @@ def rescale_vector(
     lowthres: float = 0,
     highthres: float = 1,
 ) -> pd.Series | np.ndarray:
-    """
-    Initially copied from AnemoTools/Math/Math.py
-    Rescales a vector to the specified interval. By default to (0,1)
-    :param vector: pd.Series or np.ndarray, vector to rescale
-    :param float/int, lowthres: minimum value of the rescaled vector
-    :param float/int, highthres: maximum value of the rescaled vector
-    :return: pd.Series or np.ndarray, rescaled vector
-    """
     if isinstance(vector, list):
         vector = np.array(vector)
 
@@ -54,8 +46,7 @@ def bubble_plot_calcs(
     list[str],
     list[str],
     list[str],
-]:  # x, y, xlims, ylims, sc, si, ticks, ticklabs, wtg_id, park_wtgids, series_wtgs
-    # extracting coordinates
+]:
     x = np.array([])
     y = np.array([])
     wtg_id = []
@@ -67,8 +58,8 @@ def bubble_plot_calcs(
     x = x - np.median(x)
     y = y - np.median(y)
 
-    xmar = 500  # 0.15 * (x.max() - x.min())
-    ymar = 500  # 0.05 * (y.max() - y.min())
+    xmar = 500
+    ymar = 500
     xlims = (x.min() - xmar, x.max() + xmar)
     ylims = (y.min() - ymar, y.max() + ymar)
 
@@ -139,12 +130,12 @@ def bubble_plot(
     txt: bool = True,
     title: str | None = None,
     cbarunits: str | None = None,
-    savefigure: Path | None = None,
+    save_path: Path | None = None,
     display_wtgids: bool = True,
     cbar_label: str | None = None,
     text_rotation: int = 0,
     figuresize: tuple[float, float] | None = None,
-    showfigure: bool = False,
+    show_plot: bool = False,
 ) -> None:
     if isinstance(series, type(pd.DataFrame())):
         msg = "series should be a pandas series"
@@ -212,8 +203,8 @@ def bubble_plot(
                     )
 
     plt.grid()
-    if showfigure:
+    if show_plot:
         plt.show()
-    if savefigure is not None:
-        plt.savefig(savefigure, dpi=120)
+    if save_path is not None:
+        plt.savefig(save_path, dpi=120)
     plt.close()

wind_up/plots/scada_funcs_plots.py

@@ -57,8 +57,8 @@ def print_and_plot_capacity_factor(scada_df: pd.DataFrame, cfg: WindUpConfig, pl
         series=cf_df["CF"] * 100,
         title=f"{cfg.asset.name} capacity factor",
         cbarunits="%",
-        savefigure=plots_cfg.plots_dir / f"{title}.png",
-        showfigure=plots_cfg.show_plots,
+        save_path=plots_cfg.plots_dir / f"{title}.png",
+        show_plot=plots_cfg.show_plots,
     )
 
     logger.info(f'average capacity factor: {cf_df["CF"].mean() * 100:.1f}%')