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import pickle

import pandas as pd


    

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ROME_df = pd.read_csv('../referentiels/referentiel_ROME/20150921_arboprincipale28427_ROME.csv', index_col=0, sep='|', dtype=str)
OGR_df = pd.read_csv('../referentiels/referentiel_OGR/20150921_arboprincipale28427_OGR.csv', sep='|', dtype=str).set_index('OGR')
NAF_df = pd.read_csv('../referentiels/referentiel_NAF/naf2008_liste_n5_nouveau_header.csv', sep='|', encoding="utf-8").set_index(['NAF'])


    

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with open('../array_ROME1_CDI_CDD.pickle', 'rb') as f:
    array_ROME1_CDI_CDD = pickle.load(f)
with open('../array_ROME1_ETT.pickle', 'rb') as f:
    array_ROME1_ETT = pickle.load(f)

with open('../array_ROME2_CDI_CDD.pickle', 'rb') as f:
    array_ROME2_CDI_CDD = pickle.load(f)
with open('../array_ROME2_ETT.pickle', 'rb') as f:
    array_ROME2_ETT = pickle.load(f)


    

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array_ROME1_fusion = array_ROME1_CDI_CDD + array_ROME1_ETT
with open('../array_ROME1_fusion.pickle', 'wb') as f:
    pickle.dump(array_ROME1_fusion, f)

array_ROME2_fusion = array_ROME2_CDI_CDD + array_ROME2_ETT
with open('../array_ROME2_fusion.pickle', 'wb') as f:
    pickle.dump(array_ROME2_fusion, f)


    

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