将Django QuerySet转换为pandas DataFrame [英] Converting Django QuerySet to pandas DataFrame

问题描述

我将按照以下方式将Django QuerySet转换为熊猫DataFrame:

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)

它可以工作，但是有没有更有效的方法?

It works, but is there a more efficient way?

推荐答案

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')))

以上是我做同一件事的方式.最有用的添加是指定您感兴趣的字段.如果它只是您感兴趣的可用字段的子集，那么我想这将提高性能.

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.

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