Update script2.py

script2.py

@@ -33,43 +33,25 @@ try :
     plt.show()
 
 
-    df4 = pd.read_sql('''SELECT max(emission)emission, year, code FROM CO_DEUX WHERE code NOT LIKE 'OWID_WRL' GROUP BY year, code,emission HAVING emission = max(emission) ORDER BY year;''',con=co)
+    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)
     print(df4)
-    fig = df4.plot(x='code', y='year', legend=False, kind ='bar' ,style='-')
+    fig = df4.plot(x='year', y='emission', legend=False, style='-')
     fig.set_title("Plus gros pollueur de chaque annee")
     fig.set_xlabel("code du pays")
     fig.set_ylabel("annee")
     fig.set_xticks(df4.index)
-    fig.set_xticklabels(df4['code'], rotation='45')
+    fig.set_xticklabels(df4['year'], rotation='45')
     plt.show()
 
 
-
-    df5 = pd.read_sql('''SELECT emission,code FROM CO_DEUX WHERE code NOT LIKE 'OWID_WRL' AND year = 2017 GROUP BY emission,code HAVING emission >= (SELECT avg(emission) FROM CO_DEUX WHERE year = 2017);''',con=co)
+    df5 = pd.read_sql('''SELECT entity, emission FROM CO_DEUX WHERE code NOT LIKE 'OWID_WRL' AND year = 2017 AND emission > (SELECT avg(emission) FROM CO_DEUX WHERE code NOT LIKE 'OWID_WRL' AND year = 2017);''',con=co)
     print(df5)
-    fig = df5.plot(y='code', autopct='%1.1f%%', kind='pie', legend=False)
-    fig.set_title("Pays dont l'émission de CO2 en 2017 dépasse la moyenne")
+    fig = df5.plot(y='emission', autopct='%1.1f%%', labels=df5['entity'], kind='pie', legend=False)
+    fig.set_title("Pays dont l'émission de CO2 en 2017 dépasse la moyenne en fonction de leur poids dans le grapĥique")
     fig.set_ylabel("emissions (en tonnes)")
     fig.set_ylim(0)
     plt.show()
 
-
-
-    df6 = pd.read_sql('''SELECT avg(emission)moy, code FROM CO_DEUX GROUP BY code;''',con=co)
-    print(df6)
-    fig = df6.plot(x='code', y='moy', legend=False, style='-')
-    fig.set_title("Quantité d'émission (tonnes) en fonction des années")
-    fig.set_xlabel("code pays")
-    fig.set_ylabel("emissions moyennes (en tonnes)")
-    fig.set_xticks(df6.index)
-    fig.set_xticklabels(df6['code'], rotation='45')
-
-	# df6 = pd.read_sql('''SELECT * FROM CO_DEUX HAVING ;''',con=co)
-
-	# fig = df6.plot(x='year', y='emission', legend=False, style='-')
-   #  fig.set_title("Quantité d'émission (tonnes) en fonction des années")
-   #  fig.set_xlabel("annee")
-    # fig.set_ylabel("emissions (en tonnes)")
     
     plt.show()