[Django]-How do I filter query objects by date range in Django?

You can use django’s filter with datetime.date objects:

import datetime
samples = Sample.objects.filter(sampledate__gte=datetime.date(2011, 1, 1),
                                sampledate__lte=datetime.date(2011, 1, 31))

When doing django ranges with a filter make sure you know the difference between using a date object vs a datetime object. __range is inclusive on dates but if you use a datetime object for the end date it will not include the entries for that day if the time is not set.

from datetime import date, timedelta

startdate = date.today()
enddate = startdate + timedelta(days=6)
Sample.objects.filter(date__range=[startdate, enddate])

returns all entries from startdate to enddate including entries on those dates. Bad example since this is returning entries a week into the future, but you get the drift.

from datetime import datetime, timedelta

startdate = datetime.today()
enddate = startdate + timedelta(days=6)
Sample.objects.filter(date__range=[startdate, enddate])

will be missing 24 hours worth of entries depending on what the time for the date fields is set to.

You can get around the “impedance mismatch” caused by the lack of precision in the DateTimeField/date object comparison — that can occur if using range — by using a datetime.timedelta to add a day to last date in the range. This works like:

start = date(2012, 12, 11)
end = date(2012, 12, 18)
new_end = end + datetime.timedelta(days=1)

ExampleModel.objects.filter(some_datetime_field__range=[start, new_end])

As discussed previously, without doing something like this, records are ignored on the last day.

Edited to avoid the use of datetime.combine — seems more logical to stick with date instances when comparing against a DateTimeField, instead of messing about with throwaway (and confusing) datetime objects. See further explanation in comments below.

you can use "__range"
for example :

from datetime import datetime
start_date=datetime(2009, 12, 30)
end_date=datetime(2020,12,30)
Sample.objects.filter(date__range=[start_date,end_date])

To make it more flexible, you can design a FilterBackend as below:

class AnalyticsFilterBackend(generic_filters.BaseFilterBackend):
    def filter_queryset(self, request, queryset, view):
        predicate = request.query_params # or request.data for POST

        if predicate.get('from_date', None) is not None and predicate.get('to_date', None) is not None:
            queryset = queryset.filter(your_date__range=(predicate['from_date'], predicate['to_date']))

        if predicate.get('from_date', None) is not None and predicate.get('to_date', None) is None:
            queryset = queryset.filter(your_date__gte=predicate['from_date'])

        if predicate.get('to_date', None) is not None and predicate.get('from_date', None) is None:
            queryset = queryset.filter(your_date__lte=predicate['to_date'])
        return queryset

Is simple,

YourModel.objects.filter(YOUR_DATE_FIELD__date=timezone.now())

Works for me

Model

date = models.DateField()

View

def get_queryset(self):  

    fromDate = self.request.query_params.get('fromDate',None)
    toDate = self.request.query_params.get('toDate',None)
    response  = yourModel.objects.filter(date__gte=fromDate,date__lte=toDate)
    return response