82 lines
1.3 KiB
Python
82 lines
1.3 KiB
Python
# coding: utf-8
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import pandas as pd
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ventes = pd.read_excel("./ventes.xls")
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ventes = pd.read_excel("./ventes.xls", "Feuille1")
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ventes
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L = []
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for i in ventes:
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L += [i['Tailles']] * i['effectifs]
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for i in ventes:
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L += [i['Tailles']] * i['effectifs']
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for i in ventes:
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print(i)
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for i in ventes.iteritems():
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print(i)
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for i in ventes.items():
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print(i)
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for i in ventes.index():
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print(i)
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for i in ventes.index:
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print(i)
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for i in ventes.index:
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print(ventes[i])
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ventes
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ventes = ventes.set_index('Taille')
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ventes = ventes.set_index(ventes['Taille'])
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ventes
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ventes = ventes.set_index('Tailles')
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ventes
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for i in ventes:
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print(i)
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for i in ventes.items:
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print(i)
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for i in ventes.items():
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print(i)
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ventes = pd.read_excel("./ventes.xls", "Feuille1")
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ventes.transpose()
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ventes = ventes.transpose()
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ventes
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ventes.describe()
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for i in ventes:
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print(i)
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for i in ventes:
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print(ventes[i])
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for i in ventes:
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print(ventes[i][0])
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L = []
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for i in ventes:
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L += [ventes[i][0]] * ventes[i][1]
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L
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L = pd.Series(L)
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L
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L.describe
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L.describe()
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prod = pd.read_excel("./production.xls", "Feuille1")
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prod
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prod = prod.transpose()
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prod
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P = []
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for i in prod:
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P += [prod[i][0]] * prod[i][1]
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P
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P = pd.Series(P)
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P
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P.describe()
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get_ipython().magic('save vente_prod 1-48')
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