top3 and bottom3 issue resolved

config.py

-dict_summary={"top3":[],"bottom3":[]}
 form_value_to_sub_dimension_mapping = {
     'govt':'Government',
     'private':'Private',

utils.py

@@ -6,8 +6,8 @@ import matplotlib
 matplotlib.use('Agg')
 import matplotlib.pyplot as plt
 
-dict_summary={"top3":[],"bottom3":[]}
-fig_size_ds_w, fig_size_ds_h = 8, 6
+# dict_summary={"top3":[],"bottom3":[]}
+fig_size_ds_w, fig_size_ds_h = 10, 6
 fig_size_tr_w, fig_size_tr_h = 8, 6
 
 def read_all_csv(path='./rawdata_csv/', extension='csv'):
@@ -30,6 +30,7 @@ def read_all_csv(path='./rawdata_csv/', extension='csv'):
     return final_df
 
 def statewise_distribution(output_filename, input_df, year, ylabel, main_dimension, sub_dimension=''):
+    dict_summary={"top3":[],"bottom3":[]}
     if sub_dimension:
         df_filtered = input_df.loc[(input_df['Main_Dimension'] == main_dimension) & ((input_df['Sub_Dimension'] == sub_dimension))]
     else:
@@ -40,10 +41,14 @@ def statewise_distribution(output_filename, input_df, year, ylabel, main_dimensi
     
     fig = plt.figure(figsize=(fig_size_ds_w,fig_size_ds_h))
     plt.title(label='KPI: '+ylabel, loc="right", fontsize=15, fontstyle='italic')
-    plt.xticks(rotation=90, ha="right", fontsize=8)
-    plt.bar(df_sum['State_Name'],df_sum['total_by_population'], align='center')
+    # plt.xticks(rotation=90, ha="right", fontsize=8)
+    plt.yticks(fontsize=7)
+    # plt.bar(df_sum['State_Name'],df_sum['total_by_population'], align='center')
+    plt.barh(df_sum['State_Name'], df_sum['total_by_population'],align='center')
+    # plt.bar(df_sum['total_by_population'], label=df_sum['State_Name'], align='center')
     # plt.ylabel('Enrollements/Population')
-    plt.ylabel(ylabel)
+    plt.xlabel(ylabel)
+    # plt.ylabel(ylabel)
     list_states=list(df_sum['State_Name'])
     dict_summary['top3']=[list_states[0],list_states[1],list_states[2]]
     dict_summary['bottom3']=[list_states[-1],list_states[-2],list_states[-3]]