Updated - in progress

app.py

@@ -51,7 +51,7 @@ print(
 def plot_lda_pca():
 
     # fig = plt.figure(1, facecolor="w", figsize=(5,5))
-    fig, axes = plt.subplots(2,1, sharey= False, sharex=True, figsize = (5,5))
+    fig, axes = plt.subplots(2,1, sharey= False, sharex=False, figsize = (8,6))
     colors = ["navy", "turquoise", "darkorange"]
     lw = 2
 
@@ -59,16 +59,16 @@ def plot_lda_pca():
         axes[0].scatter(
             X_r[y == i, 0], X_r[y == i, 1], color=color, alpha=0.8, lw=lw, label=target_name
         )
-    plt.legend(loc="best", shadow=False, scatterpoints=1)
-    plt.title("PCA of IRIS dataset")
-
-    
+    axes[0].legend(loc="lower right")
+    axes[0].set_title("PCA of IRIS dataset")    
     for color, i, target_name in zip(colors, [0, 1, 2], target_names):
         axes[1].scatter(
             X_r2[y == i, 0], X_r2[y == i, 1], alpha=0.8, color=color, label=target_name
         )
     plt.legend(loc="best", shadow=False, scatterpoints=1)
-    plt.title("LDA of IRIS dataset")
+    axes[1].legend(loc="lower right")
+    axes[1].set_title("LDA of IRIS dataset")    
+
 
     return fig