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import pandas as pd
import psycopg2 as psy
import matplotlib.pyplot as plt
data = pd.read_csv(r'co2_emission.csv')
df = pd.DataFrame(data)
df2 = df.drop_duplicates()
co = None
try :
co = psy.connect(host='berlin',
database = 'dbmalanone',
user = 'malanone',
password = 'azertyuiop')
curs=co.cursor()
#Delete all the lines which has no data
curs.execute('''DELETE FROM CO_DEUX WHERE emission = 0''')
curs.execute('''DELETE FROM CO_DEUX WHERE code LIKE 'NaN' ''')
df3 = pd.read_sql('''SELECT * FROM CO_DEUX WHERE code LIKE 'FRA';''',con=co)
#df5 = pd.read_sql('''SELECT * FROM CO_DEUX WHERE code LIKE 'USA';''',con=co)
#Chart that picture the evolution of the emission in France
print(df3)
fig = df3.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()
except (Exception, psy.DatabaseError) as error :
print(error)
finally :
if co is not None:
co.close()