text values added in plotss

utils.py

@@ -45,10 +45,8 @@ def statewise_distribution(output_filename, input_df, year, ylabel, main_dimensi
     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.xlabel(ylabel)
     # plt.ylabel(ylabel)
+    plt.xlabel(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]]
@@ -67,11 +65,18 @@ def total_enrolment_by_category(output_filename, input_df, main_dimension, state
     
     df_govt=df_sum.loc[(df_sum['Sub_Dimension'] == "Government")]
     df_pvt=df_sum.loc[(df_sum['Sub_Dimension'] == "Private")]
-    plt.plot(df_govt['Year'],df_govt['total'],color='r', label='Goverment')
-    plt.plot(df_pvt['Year'],df_pvt['total'],color='g', label='Private')
+    plt.plot(df_govt['Year'],df_govt['total'],marker='o',color='r', label='Goverment')
+    for x, y in zip(df_govt['Year'],df_govt['total']):
+        plt.text(x = x, y = y, s = '{:.0f}'.format(y), color='r', rotation=15, fontsize=7, weight='bold')
+    plt.plot(df_pvt['Year'],df_pvt['total'],marker='+',color='g', label='Private')
+    for x, y in zip(df_pvt['Year'],df_pvt['total']):
+        plt.text(x = x, y = y, s = '{:.0f}'.format(y), color='g', rotation=15, fontsize=7, weight='bold')
+    
     if not 'Rural' in main_dimension:
         df_madr=df_sum.loc[(df_sum['Sub_Dimension'] == "Madrasas & Unrecognised")]
-        plt.plot(df_madr['Year'],df_madr['total'],color='b', label='Madrasas')
+        plt.plot(df_madr['Year'],df_madr['total'],marker='*',color='b', label='Madrasas')
+        for x, y in zip(df_madr['Year'],df_madr['total']):
+            plt.text(x = x, y = y, s = '{:.0f}'.format(y), color='b', rotation=15, fontsize=7, weight='bold')
     
     plt.legend()
     plt.title(label='KPI: '+ylabel, loc="right", fontsize=15, fontstyle='italic')
@@ -94,9 +99,15 @@ def total_teachers_by_main_dimension(output_filename, input_df, main_dimension,
         df_pvt = df_sum.loc[(df_sum['Sub_Dimension'] == "Private")]
         df_madr = df_sum.loc[(df_sum['Sub_Dimension'] == "Madrasas & Unrecognised")]
         
-        plt.plot(df_govt['Year'],df_govt['total'],color='r', label='Goverment')
-        plt.plot(df_pvt['Year'],df_pvt['total'],color='g', label='Private')
-        plt.plot(df_madr['Year'],df_madr['total'],color='b', label='Madrasas')
+        plt.plot(df_govt['Year'],df_govt['total'],marker='o',color='r', label='Goverment')
+        for x, y in zip(df_govt['Year'],df_govt['total']):
+            plt.text(x = x, y = y, s = '{:.0f}'.format(y), color='r', rotation=15, fontsize=7, weight='bold')
+        plt.plot(df_pvt['Year'],df_pvt['total'],marker='+',color='g', label='Private')
+        for x, y in zip(df_pvt['Year'],df_pvt['total']):
+            plt.text(x = x, y = y, s = '{:.0f}'.format(y), color='g', rotation=15, fontsize=7, weight='bold')
+        plt.plot(df_madr['Year'],df_madr['total'],marker='*',color='b', label='Madrasas')
+        for x, y in zip(df_madr['Year'],df_madr['total']):
+            plt.text(x = x, y = y, s = '{:.0f}'.format(y), color='b', rotation=15, fontsize=7, weight='bold')
     else:
         df_bel_sec = df_sum.loc[(df_sum['Sub_Dimension'] == "Below Secondary")]
         df_sec = df_sum.loc[(df_sum['Sub_Dimension'] == "Secondary")]
@@ -132,9 +143,15 @@ def total_classrooms_by_trend(output_filename, input_df, state_code):
     df_minor_repair = df_sum.loc[(df_sum['Sub_Dimension'] == "Need Minor Repair")]
     df_major_repair = df_sum.loc[(df_sum['Sub_Dimension'] == "Need Major Repair")]
     
-    plt.plot(df_good_cond['Year'],df_good_cond['total'],color='r', label='Good Condition')
-    plt.plot(df_minor_repair['Year'],df_minor_repair['total'],color='g', label='Need Minor Repair')
-    plt.plot(df_major_repair['Year'],df_major_repair['total'],color='b', label='Need Major Repair')
+    plt.plot(df_good_cond['Year'],df_good_cond['total'],marker='o',color='r', label='Good Condition')
+    for x, y in zip(df_good_cond['Year'],df_good_cond['total']):
+        plt.text(x = x, y = y, s = '{:.0f}'.format(y), color='r', rotation=15, fontsize=7, weight='bold')
+    plt.plot(df_minor_repair['Year'],df_minor_repair['total'],marker='+',color='g', label='Need Minor Repair')
+    for x, y in zip(df_minor_repair['Year'],df_minor_repair['total']):
+        plt.text(x = x, y = y, s = '{:.0f}'.format(y), color='g', rotation=15, fontsize=7, weight='bold')
+    plt.plot(df_major_repair['Year'],df_major_repair['total'],marker='*',color='b', label='Need Major Repair')
+    for x, y in zip(df_major_repair['Year'],df_major_repair['total']):
+        plt.text(x = x, y = y, s = '{:.0f}'.format(y), color='b', rotation=15, fontsize=7, weight='bold')
 
     plt.legend()
     plt.title(label='KPI: '+"Number of Classrooms", loc="right", fontsize=15, fontstyle='italic')
@@ -185,16 +202,28 @@ def main_dimension_overall(output_filename, input_df, main_dimension, ylabel):
         df_govt=df_sum.loc[(df_sum['Sub_Dimension'] == "Government")]
         df_pvt=df_sum.loc[(df_sum['Sub_Dimension'] == "Private")]
         df_madr=df_sum.loc[(df_sum['Sub_Dimension'] == "Madrasas & Unrecognised")]
-        plt.plot(df_govt['Year'],df_govt['total'],color='r', label='Goverment')
-        plt.plot(df_pvt['Year'],df_pvt['total'],color='g', label='Private')
-        plt.plot(df_madr['Year'],df_madr['total'],color='b', label='Madrasas')
+        plt.plot(df_govt['Year'],df_govt['total'],marker='o',color='r', label='Goverment')
+        for x, y in zip(df_govt['Year'],df_govt['total']):
+            plt.text(x = x, y = y, s = '{:.0f}'.format(y), color='r', rotation=15, fontsize=7, weight='bold')
+        plt.plot(df_pvt['Year'],df_pvt['total'],marker='+',color='g', label='Private')
+        for x, y in zip(df_pvt['Year'],df_pvt['total']):
+            plt.text(x = x, y = y, s = '{:.0f}'.format(y), color='g', rotation=15, fontsize=7, weight='bold')
+        plt.plot(df_madr['Year'],df_madr['total'],marker='*',color='b', label='Madrasas')
+        for x, y in zip(df_madr['Year'],df_madr['total']):
+            plt.text(x = x, y = y, s = '{:.0f}'.format(y), color='b', rotation=15, fontsize=7, weight='bold')
     else:
         df_good_cond = df_sum.loc[(df_sum['Sub_Dimension'] == "Good Condition")]
         df_minor_repair = df_sum.loc[(df_sum['Sub_Dimension'] == "Need Minor Repair")]
         df_major_repair = df_sum.loc[(df_sum['Sub_Dimension'] == "Need Major Repair")]
-        plt.plot(df_good_cond['Year'],df_good_cond['total'],color='r', label='Good Condition')
-        plt.plot(df_minor_repair['Year'],df_minor_repair['total'],color='g', label='Need Minor Repair')
-        plt.plot(df_major_repair['Year'],df_major_repair['total'],color='b', label='Need Major Repair')
+        plt.plot(df_good_cond['Year'],df_good_cond['total'],marker='o',color='r', label='Good Condition')
+        for x, y in zip(df_good_cond['Year'],df_good_cond['total']):
+            plt.text(x = x, y = y, s = '{:.0f}'.format(y))
+        plt.plot(df_minor_repair['Year'],df_minor_repair['total'],marker='+',color='g', label='Need Minor Repair')
+        for x, y in zip(df_minor_repair['Year'],df_minor_repair['total']):
+            plt.text(x = x, y = y, s = '{:.0f}'.format(y))
+        plt.plot(df_major_repair['Year'],df_major_repair['total'],marker='*',color='b', label='Need Major Repair')
+        for x, y in zip(df_major_repair['Year'],df_major_repair['total']):
+            plt.text(x = x, y = y, s = '{:.0f}'.format(y))
     
     plt.legend()
     plt.title(label='KPI: '+ylabel, loc="right", fontsize=15, fontstyle='italic')