When working on the project where you need to do more of the after calculation, the calculation where you need third party support for you Django project. I was in that situation and I’ve chosen Pandas for it. I was working on the problem where I need to calculate mean value for multiple clients that is in the queryset. Now you may think why can’t do that in queryset operation itself. I don’t think that is possible cause we are talking about the multiple clients and I need the output in the different format. So I decided to use Pandas because the calculation are super easy and can generate highly customisable output.
Whenever you have queryset to convert into dataframe there is a values in the queryset function object that we can use it to generate the list. i.e)
datas = Data.objects.filter(datetime__gte=data_from, datetime__lte=data_to)
datas = list(datas.values("datetime", "reading", "customer_id", "device_id"))
Now that we have the list of those values we can pass this into data frame constructor like this.
df = pd.DataFrame(
list(
datas.values("datetime", "reading", "customer_id", "device_id")
)
)