ylabel adjusted for distribution graphs

utils.py

@@ -29,7 +29,7 @@ def read_all_csv(path='./rawdata_csv/', extension='csv'):
 
     return final_df
 
-def statewise_distribution(output_filename, input_df, year, main_dimension, sub_dimension=''):
+def statewise_distribution(output_filename, input_df, year, ylabel, main_dimension, sub_dimension=''):
     if sub_dimension:
         df_filtered = input_df.loc[(input_df['Main_Dimension'] == main_dimension) & ((input_df['Sub_Dimension'] == sub_dimension))]
     else:
@@ -41,7 +41,8 @@ def statewise_distribution(output_filename, input_df, year, main_dimension, sub_
     fig = plt.figure(figsize=(fig_size_w,fig_size_h))
     plt.xticks(rotation=90, ha="right")
     plt.bar(df_sum['State_Name'],df_sum['total_by_population'], align='center')
-    plt.ylabel('Enrollements/Population')
+    # plt.ylabel('Enrollements/Population')
+    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]]