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45 lines
1.0 KiB
45 lines
1.0 KiB
import pandas as pd
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import psycopg2 as psy
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data = pd.read_csv(r'co2_emission.csv')
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df = pd.DataFrame(data)
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df2 = df.drop_duplicates()
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co = None
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try :
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co = psy.connect(host='berlin',
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database = 'dbmalanone',
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user = 'malanone',
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password = 'azertyuiop')
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curs=co.cursor()
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#Delete all the lines which has no data
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curs.execute('''DELETE FROM CO_DEUX WHERE emission = 0''')
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curs.execute('''DELETE FROM CO_DEUX WHERE code LIKE 'NaN' ''')
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#Chart that picture the evolution of the emission in France
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fig = df3.plot(x="annee", y="emissions", legend=False, style='-', kind='bar')
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fig.set_title("Quantité d'émission (tonnes) en fonction des années")
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fig.set_xlabel("Année")
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fig.set_ylabel("Émissions")
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fig.set_xticks(df3.index)
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fig.set_xticklabels(df3['annee'], rotation='45')
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fig.set_ylim(0,350)
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plt.show()
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co.commit()
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except (Exception, psy.DatabaseError) as error :
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print(error)
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finally :
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if co is not None:
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co.close()
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