I'm doing a mapping of data. I have a lot of tables, one of them is "abonnement" for example, here I have multiple columns (id, datemajaudit, etc.).
Example of col
dictionary;
{'abonnement': ['id',
'datemajaudit',
'objversion',
'profilmajaudit',
'supprime',
'userconnected',
'categorieabonnement',
'code',
'isaffichable',
'isextranetunsubscribed',
'libelle',
'media'],
'abonnement_carte_paiement': ['id',
'datemajaudit',
'objversion',
for every table, I created a variable that is named d_{table}, d_abonnement for example that contains some information about every column of the table.
Example of d_constab_assoc_equipement_infos_etat
#out[9]:
#[{1000: 3, 1002: 3}, {1022: 1, 1044: 1, 1059: 1, 1049: 1, 1051: 1, 1061: 1}]
Now I want to put this information on a txt, in this format:
abonnement
id
1000: 3, |
1002: 3, |
datemajaudit
1022: 1,
1044: 1,
1059: 1,
1049: 1,
1051: 1,
1061: 1
I do it with this code :
ab = open("premier.txt","w")
t=[0]
exec(f'''for i, zones in list(col.items())[0:300]:
print(f'\t%s'%i, file=ab)
for t, zone in enumerate(zones):
print(f'\t\t%s'%zone, file=ab)
print("\\t\t\t\t")
for q, v in d_{i}[t].items():
print("èèèèè", q, "(", v, '),', end = " ", file=ab)
print("|", file=ab)''')
ab.close()
The issue is that I have some difficulties to call the variable that I created, I want to dynamically call the variable with this name: d_abonnement[1], d_abonnement[2], d_abonnement[3]
, and want to do it for all tables so also d_constab_assoc_equipement_infos_etat[0], d_constab_assoc_equipement_infos_etat[1], constab_assoc_equipement_infos_etat[2], etc, d_devis[0], d_devis[1], d_devis[2]
But with this part of my code for q, v in d_{i}[t].items():
I have some issues, because it returns me on my file txt all the table, for each table, the good columns, but for all tables I have the values of the first table. In other words I cannot have some other tables names d_constab_assoc_equipement_infos_etat[0], d_devis[0], etc,
but only one table name, the first one that turns with the code, and it fullfils the data for all the others.