Created
September 6, 2017 14:34
-
-
Save glauesppen/983037e53e68a02cdb9d1f8ff9246e7b to your computer and use it in GitHub Desktop.
Using pandas to report
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import pandas as pd | |
from leilao.models import Lance | |
lista = ['PTN07-17A-SUCATAS', 'PTN07-17B-SUCATAS', 'PTN07-17C-SUCATAS','PTN07-17D-SUCATAS'] | |
queryset = ( | |
Lance.objects | |
.filter(lote__leilao__nome__in=lista) | |
.values('lote__leilao__nome', 'user__userprofile__nome', 'user__email', 'user__userprofile__telefone1', 'user__userprofile__telefone2') | |
.distinct() | |
) | |
dados = pd.DataFrame(list(queryset)) | |
dados = dados.drop_duplicates() | |
dados = dados.rename(columns={ | |
'lote__leilao__nome': 'Leilao', | |
'user__userprofile__nome': 'Nome', | |
'user__email': 'Email', | |
'user__userprofile__telefone1': 'Telefone1', | |
'user__userprofile__telefone2': 'Telefone2', | |
}) | |
dados.to_excel('dados.xls') |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment