python - Converting Django QuerySet to pandas DataFrame

Question

I am going to convert a Django QuerySet to a pandas DataFrame as follows:

qs = SomeModel.objects.select_related().filter(date__year=2012)
q = qs.values('date', 'OtherField')
df = pd.DataFrame.from_records(q)

It works, but is there a more efficient way?

Answer 1

import pandas as pd
import datetime
from myapp.models import BlogPost

df = pd.DataFrame(list(BlogPost.objects.all().values()))
df = pd.DataFrame(list(BlogPost.objects.filter(date__gte=datetime.datetime(2012, 5, 1)).values()))

# limit which fields
df = pd.DataFrame(list(BlogPost.objects.all().values('author', 'date', 'slug')))

The above is how I do the same thing. The most useful addition is specifying which fields you are interested in. If it's only a subset of the available fields you are interested in, then this would give a performance boost I imagine.