v0.0.19 identation in print_imp fixed

Author: bartzbeielstein

pyproject.toml

@@ -7,7 +7,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "spotPython"
-version = "0.0.18"
+version = "0.0.19"
 authors = [
   { name="T. Bartz-Beielstein", email="tbb@bartzundbartz.de" }
 ]

src/spotPython/spot/spot.py

@@ -606,33 +606,32 @@ def plot_contour(self, i=0, j=1, min_z=None, max_z=None, show=True):
         #
         pylab.show()
 
-
-def print_importance(self, threshold=0.1, filename=None) -> None:
-    """Print importance of each parameter and plot it.
-    Args:
-        threshold (float):  Only parameters with importance >= threshold are printed.
-        filename (str):     If not None, the plot is saved to the file.
-    Returns:
-        None
-    """
-    if self.surrogate.n_theta > 1:
-        theta = np.power(10, self.surrogate.theta)
-        print("Importance relative to the most important parameter:")
-        imp = 100 * theta / np.max(theta)
-        imp = imp[imp >= threshold]
-        if self.var_name is None:
-            for i in range(len(imp)):
-                print("x", i, ": ", imp[i])
-            plt.bar(range(len(imp)), imp)
-            plt.xticks(range(len(imp)), ["x" + str(i) for i in range(len(imp))])
+    def print_importance(self, threshold=0.1, filename=None) -> None:
+        """Print importance of each parameter and plot it.
+        Args:
+            threshold (float):  Only parameters with importance >= threshold are printed.
+            filename (str):     If not None, the plot is saved to the file.
+        Returns:
+            None
+        """
+        if self.surrogate.n_theta > 1:
+            theta = np.power(10, self.surrogate.theta)
+            print("Importance relative to the most important parameter:")
+            imp = 100 * theta / np.max(theta)
+            imp = imp[imp >= threshold]
+            if self.var_name is None:
+                for i in range(len(imp)):
+                    print("x", i, ": ", imp[i])
+                plt.bar(range(len(imp)), imp)
+                plt.xticks(range(len(imp)), ["x" + str(i) for i in range(len(imp))])
+            else:
+                var_name = [self.var_name[i] for i in range(len(imp)) if imp[i] >= threshold]
+                for i in range(len(imp)):
+                    print(var_name[i] + ": ", imp[i])
+                plt.bar(range(len(imp)), imp)
+                plt.xticks(range(len(imp)), var_name)
+            if filename is not None:
+                plt.savefig(filename)
+            plt.show()
         else:
-            var_name = [self.var_name[i] for i in range(len(imp)) if imp[i] >= threshold]
-            for i in range(len(imp)):
-                print(var_name[i] + ": ", imp[i])
-            plt.bar(range(len(imp)), imp)
-            plt.xticks(range(len(imp)), var_name)
-        if filename is not None:
-            plt.savefig(filename)
-        plt.show()
-    else:
-        print("Importantance requires more than one theta values (n_theta>1).")
+            print("Importantance requires more than one theta values (n_theta>1).")