I have a table like this:
| A | B |
|---|---|
| a | row |
| row | |
| row | |
| row | |
| b | row |
| row | |
| row | |
| c | row |
| ... | .... |
How can I fill in missing values like forward fill in Pandas data frame using Django ORM query?
PS: I have an ID column which is unique
I have a table like this:
| A | B |
|---|---|
| a | row |
| row | |
| row | |
| row | |
| b | row |
| row | |
| row | |
| c | row |
| ... | .... |
How can I fill in missing values like forward fill in Pandas data frame using Django ORM query?
PS: I have an ID column which is unique
Assuming, that the table is sorted by primary key.
If this is just a one-off you could do something like this. It will probably take a very long time if you have a very large table. To actually run in you can use the django shell or django management command.
latest_a = None
max_id = MyModel.objects.last().id
for i in range(1, max_id + 1):
try:
instance = MyModel.objects.get(pk=i)
except MyModel.DoesNotExist:
continue
if instance.a == None and latest_a:
instance.a = latest_a
instance.save()
else:
latest_a = instance.a