From 34c2adc3e923eab8dd4f67cb8fd3956e57e9a5f4 Mon Sep 17 00:00:00 2001
From: jebesson2 <jeremy.besson@etu.uca.fr>
Date: Sat, 14 May 2022 07:54:27 +0000
Subject: [PATCH] Update script2.py

---
 script2.py | 45 +++++++++++++++++++++++++++++++++++++--------
 1 file changed, 37 insertions(+), 8 deletions(-)

diff --git a/script2.py b/script2.py
index 4c6285d..84d35b7 100644
--- a/script2.py
+++ b/script2.py
@@ -20,6 +20,7 @@ try :
     curs.execute('''DELETE FROM CO_DEUX WHERE emission = 0''')
     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';''',con=co)
 
     #Chart that picture the evolution of the emission in France
@@ -30,20 +31,47 @@ try :
     fig.set_ylabel("emissions (en tonnes)")
  
     plt.show()
- 
 
-    
-    df4 = pd.read_sql('''SELECT max(emission)GrosPollueur FROM CO_DEUX WHERE year = 2017;''',con=co)
-    print(df4)
-    fig = df4.plot(x='2017', y='emission', legend=False, style='-')
-    fig.set_title("Emission du plus gros pollueur en 2017")
-    fig.set_xlabel("2017")
+
+    #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)
+    #print(df4)
+    #fig = df4.plot(x='code', y='year', 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')
+    #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)
+    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.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()
 
     co.commit()
 
@@ -56,3 +84,4 @@ except (Exception, psy.DatabaseError) as error :
 finally :
     if co is not None:
         co.close()
+