parent
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-- psql -h londres -d dblolaborie -U lolaborie -W
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SELECT p.nomR,avg(s.gscore) as Moyenne_Position_Region
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FROM Statistique s, Pays p, Region r
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WHERE s.codeP = p.code AND p.nomR = r.nom AND s.annee = '2021'
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GROUP BY p.nomR;
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@ -0,0 +1,113 @@
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import pandas as pd
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import psycopg2 as pg
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import subprocess as sp
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import matplotlib.pyplot as plt
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# psql -h londres -d dblolaborie -U lolaborie -W
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data = pd.read_csv(r'Report_2022.csv')
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df = pd.DataFrame(data)
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df2 = df.drop_duplicates()
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df2 = df2.dropna()
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data = pd.read_csv(r'Report_2021.csv')
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df = pd.DataFrame(data)
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df2021 = df.drop_duplicates()
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df2021 = df.dropna()
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data = pd.read_csv(r'Report_2020.csv')
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df = pd.DataFrame(data)
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df2020 = df.drop_duplicates()
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df2020 = df.dropna()
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regions = []
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for row in df2.itertuples():
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if row.Region not in regions:
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regions.append(row.Region)
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sp.run(["stty", "-echo"])
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mdp = input("Le mot de passe stp : ")
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sp.run(["stty", "echo"])
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co = None
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print("Connexion...\n")
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try:
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# Connexion à la base
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# Attention ! pensez à remplacer dblogin , login et mot_de_passe
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#avec vos informations
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co = pg.connect(host='londres',
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database ='dblolaborie',
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user='lolaborie',
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password = mdp)
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curs = co.cursor()
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curs.execute('''DROP TABLE IF EXISTS Pays,Region,Annee,Statistique CASCADE;''')
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curs.execute('''CREATE TABLE Region(
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nom varchar(30) PRIMARY KEY);''')
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curs.execute('''CREATE TABLE Pays(
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code varchar(3) PRIMARY KEY,
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nom varchar(30) NOT NULL,
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nomR varchar(30) NOT NULL REFERENCES Region);''')
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curs.execute('''CREATE TABLE Annee(
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annee varchar(4) PRIMARY KEY);''')
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curs.execute('''CREATE TABLE Statistique(
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annee varchar(4) NOT NULL REFERENCES Annee,
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codeP varchar(3) NOT NULL REFERENCES Pays,
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position numeric NOT NULL,
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gscore numeric,
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pscore numeric,
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escore numeric,
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lscore numeric,
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soscore numeric,
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sescore numeric,
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jkill numeric NOT NULL,
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mkill numeric NOT NULL,
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jprison numeric NOT NULL,
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mprison numeric NOT NULL,
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situation varchar(30) NOT NULL,
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PRIMARY KEY(annee,codeP));''')
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print("Tables crées !\n")
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curs.execute('''INSERT INTO Annee VALUES('2022');''')
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curs.execute('''INSERT INTO Annee VALUES('2021');''')
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curs.execute('''INSERT INTO Annee VALUES('2020');''')
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print("Années insérées !")
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for r in regions:
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curs.execute('''INSERT INTO Region VALUES(%s);''',
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(r, ))
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print("Régions insérées !")
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for row in df2.itertuples():
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curs.execute('''INSERT INTO Pays VALUES(%s,%s,%s);''',
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(row.ISO_Code, row.Country, row.Region))
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curs.execute('''INSERT INTO Statistique VALUES('2022',%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s);''',
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(row.ISO_Code,row.Position_2022,row.Global_Score,row.Politic_Score,row.Economic_Score,row.Legislative_Score,row.Social_Score,row.Security_Score,row.Journalist_Killed,row.Media_Workers_Killed,row.Journalist_Imprisoned,row.Media_Workers_Imprisoned,row.Situation))
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for row in df2021.itertuples():
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curs.execute('''INSERT INTO Statistique VALUES('2021',%s,%s,%s,NULL,NULL,NULL,NULL,NULL,%s,%s,%s,%s,%s);''',
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(row.ISO_Code,row.Position_2021,row.Global_Score,row.Journalist_Killed,row.Media_Workers_Killed,row.Journalist_Imprisoned,row.Media_Workers_Imprisoned,row.Situation))
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for row in df2020.itertuples():
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curs.execute('''INSERT INTO Statistique VALUES('2020',%s,%s,%s,NULL,NULL,NULL,NULL,NULL,%s,%s,%s,%s,%s);''',
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(row.ISO_Code,row.Position_2020,row.Global_Score,row.Journalist_Killed,row.Media_Workers_Killed,row.Journalist_Imprisoned,row.Media_Workers_Imprisoned,row.Situation))
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print("Insertions terminées !")
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co.commit()
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curs.close()
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# Affichage du message d'erreur en cas de probl ème de connexion
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except(Exception, pg.DatabaseError) as error :
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print(error)
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# Attention ! Toujours fermer la connexion lorsqu 'on en a plus besoin
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finally:
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if co is not None:
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co.close()
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