1. Highlighted NOTE with red color; 2. Prevented runtime warnings....

app.py

@@ -130,15 +130,23 @@ ax.yaxis.set_tick_params(labelleft=False)
 ax.set_xticks([])
 ax.set_yticks([])
 fig.legend(bbox_to_anchor=(1.05, 0.86), loc=1, borderaxespad=0., fontsize=8)
+
+if np.iscomplex(evl).any() or np.iscomplex(evec).any():
+    st.caption(
+        ":red[NOTE: Due to _complex_ _eigenvectors_ and _eigenvalues_, the transformed _eigenvectors_ \
+        are not displayed...]"
+    )
+else:
+    ### This is to make sure that the graph vansish and re-appear whne the condition is true....
+    st.caption(" ")
+
 st.pyplot(fig)
 
-df = pd.DataFrame({'Eigenvalues': evl, 'Eigenvectors': [str(evec[:,0]), str(evec[:,1])],\
+df = pd.DataFrame({'Eigenvalues': [str(np.round(x,3)) for x in evl], 'Eigenvectors': [str(evec[:,0]), str(evec[:,1])],\
     'Transformed Eigenvectors': [str(evec[:,0]*evl[0]), str(evec[:,1]*evl[1])]})
-st.table(df.style.format({'Eigenvalues':'{:.2f}'}))
+st.table(df)
 
-if np.iscomplex(evl).any() or np.iscomplex(evec).any():
-    st.write("Due to complex eigenvectors and eigenvalues, the transformed eigenvectors are not\
-        displayed...")
-    
+st.write("---")
 file = open("description.md", "r")
-st.markdown(file.read())
+st.markdown(file.read())
+file.close()