Update script2.py

script2.py

@@ -1,7 +1,7 @@
 import pandas as pd
 import psycopg2 as psy
 import matplotlib.pyplot as plt
-
+import seaborn as sns
 
 data = pd.read_csv(r'co2_emission.csv')
 df = pd.DataFrame(data)
@@ -21,7 +21,7 @@ try :
     curs.execute('''DELETE FROM CO_DEUX WHERE code LIKE 'NaN' ''')
 
 	   #Chart that picture the evolution of the emission in France
-    df3 = pd.read_sql('''SELECT * FROM CO_DEUX WHERE code LIKE 'FRA' AND year BETWEEN 1980 AND 2017;''',con=co)
+    df3 = pd.read_sql('''SELECT * FROM CO_DEUX WHERE code LIKE 'FRA';''',con=co)
 
     #Chart that picture the evolution of the emission in France
     print(df3)
@@ -33,12 +33,20 @@ try :
     plt.show()
 
 
-    df4 = pd.read_sql('''SELECT max(emission)emission, year FROM CO_DEUX WHERE year BETWEEN 2000 AND 2017 AND code NOT LIKE 'OWID_WRL' GROUP BY year ORDER BY year;''',con=co)
+    df4 = pd.read_sql('''SELECT entity, year,emission FROM CO_DEUX WHERE emission = ANY(SELECT max(emission)emission FROM CO_DEUX WHERE year BETWEEN 2000 AND 2017 AND code NOT LIKE 'OWID_WRL' GROUP BY year) ORDER BY year;''',con=co)
+
+
+
+
+
+
+
     print(df4)
-    fig = df4.plot(x='year', y='emission', legend=False, style='-')
+    fig = df4.plot(x='entity', y='emission', legend=False, style='-')
-    fig.set_title("Plus gros pollueur de chaque annee")
+    sns.barplot(data=df4 , x='year', y='emission', hue='entity')
+    fig.set_title("Plus gros pollueur de chaque annee, de 2000 à 2017")
     fig.set_xlabel("code du pays")
-    fig.set_ylabel("annee")
+    fig.set_ylabel("emissions (en tonnes)")
     fig.set_xticks(df4.index)
     fig.set_xticklabels(df4['year'], rotation='45')
     plt.show()
@@ -52,8 +60,6 @@ try :
     fig.set_ylim(0)
     plt.show()
 
-    
-    plt.show()
 
     df6 = pd.read_sql('''SELECT * FROM CO_DEUX WHERE code LIKE 'CHN' AND year BETWEEN 1980 AND 2017;''',con=co)
 
@@ -84,6 +90,7 @@ try :
 
 
 
+
 except (Exception, psy.DatabaseError) as error :
     print(error)