Update app (3).py

app (3).py

@@ -171,11 +171,37 @@ elif app_mode == '02 Visualization':
     st.pyplot(fig)
 
     st.subheader("FCVC : Do you usually eat vegetables in your meals?")
-    crosstab = pd.crosstab(df['FAVC'], df['OL'])
-    fig, ax = plt.subplots()
-    crosstab.plot(kind='bar',width=0.8, ax=ax)
-    for p in ax.patches:
-      ax.annotate(str(p.get_height()), (p.get_x() * 1.005, p.get_height() * 1.005))
+    df_ot = df[df["OL"] == 'Obesity_Type_I' ]
+    df_ot2 = df[df["OL"] == 'Obesity_Type_II']
+    df_ot3 = df[df["OL"] == 'Obesity_Type_III']
+
+    df_ot_final = pd.concat([df_ot,df_ot2,df_ot3])      # data frem of Obesity_Type I, II, III
+    df_ot_final.reset_index(drop=True, inplace = True)
+
+    df_ow = df[df["OL"]=='Overweight_Level_I']
+    df_ow2 = df[df["OL"]=='Overweight_Level_II']
+
+    df_ow_final = pd.concat([df_ow,df_ow2])    # data frem of Over_weight_Type I, II
+    df_ow_final.reset_index(drop=True, inplace = True)
+
+    df_n = df[df["OL"]=='Normal_Weight']
+
+    df_In = df[df["OL"]=='Insufficient_Weight']
+
+    data_list = [df_ot_final, df_ow_final, df_n, df_In]
+    data_name = ["obesity_type", "over_weight_type", "normal", "Insufficient_Weight"]
+
+    fig, axes = plt.subplots(nrows=2, ncols=2, figsize=(10,8))
+
+    for i in range(2):
+      sns.kdeplot(ax=axes[i,0], data=data_list[i], x="FCVC", hue="OL", fill=True)
+      axes[i, 0].set_title(f'{data_name[i]} vs FCVC')
+
+      sns.kdeplot(ax=axes[i,1], data=data_list[i+2], x="FCVC", hue="OL", fill=True)
+      axes[i, 1].set_title(f'{data_name[i+2]} vs FCVC')
+
+    fig.suptitle('Obesity_levels vs FCVC')
+    plt.tight_layout()
     st.pyplot(fig)
 
   elif varibles=='PHYSICAL ACTIVITY':