Incrémenter des copies de ligne, dans un tableau
Publié : 04 sept. 2023 22:17
Hi à tous,
J'aimerais dupliquer des lignes d'un tableau sheet, contenant du texte. En les incrémentant dans le tableau existant.
Tableau ci-dessous, est de le transformer
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Ainsi via soit un script et/ou une formule
dupliquer les lignes, par un nombres d'occurrences souhaitées
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Merci de votre aide Lien ici
J'aimerais dupliquer des lignes d'un tableau sheet, contenant du texte. En les incrémentant dans le tableau existant.
Tableau ci-dessous, est de le transformer
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Ainsi via soit un script et/ou une formule
dupliquer les lignes, par un nombres d'occurrences souhaitées
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