Update app.py

app.py

@@ -76,7 +76,7 @@ def dynp_method(signal,bkps,n_bkps):
     algo = rpt.Dynp(model=model, min_size=3, jump=5).fit(signal)
     my_bkps = algo.predict(n_bkps)
     # show results
-    fig,axarr = rpt.show.display(signal, bkps, my_bkps, figsize=(10, 3))
+    fig,axarr = rpt.show.display(signal, bkps, my_bkps, figsize=(10, 2))
     #plt.show()
     st.pyplot(fig)
     return my_bkps
@@ -100,7 +100,7 @@ def bin_seg_method(signal,bkps,n_bkps):
     my_bkps = algo.predict(n_bkps)
 
     # show results
-    fg,axxarr = rpt.show.display(signal, bkps, my_bkps, figsize=(10, 3))
+    fg,axxarr = rpt.show.display(signal, bkps, my_bkps, figsize=(10, 2))
     st.pyplot(fig)
     return my_bkps
 
@@ -111,7 +111,7 @@ def bot_up_seg(signal,bkps,n_bkps):
     my_bkps = algo.predict(n_bkps)
 
     # show results
-    fig,axxar = rpt.show.display(signal, bkps, my_bkps, figsize=(10, 3))
+    fig,axxar = rpt.show.display(signal, bkps, my_bkps, figsize=(10, 2))
     st.pyplot(fig)
     return my_bkps
 
@@ -122,7 +122,7 @@ def win_sli_seg(signal,bkps,n_bkps):
     my_bkps = algo.predict(n_bkps)
 
     # show results
-    fig,axxar= rpt.show.display(signal, bkps, my_bkps, figsize=(10, 3))
+    fig,axxar= rpt.show.display(signal, bkps, my_bkps, figsize=(10, 2))
     st.pyplot(fig)
     return my_bkps