Django Rest Api with Pandas - django

Question

I am using django-rest-framework to make an api of my data. I am making an app that takes into account user data and remove outliers from that data using Pandas. I am able to present my data on frontend using django templates but somehow I am not able to make an API containing the statistical data using django-rest-framework . Can someone explain it and please help me to rectify my errors and also provide the necessary code
Here is my code
class Data(models.Model):
Name = models.CharField(max_length=30,null=True,blank=True)
Age = models.IntegerField(null=True,blank=True)
Weight = models.FloatField(null=True,blank=True)
Height = models.FloatField(null=True,blank=True)
Sugar = models.FloatField(null=True,blank=True)
def __unicode__(self):
return self.Name
My Serializer Class
class DataSerializer(serializers.ModelSerializer):
class Meta:
model = Data
fields = '__all__'
my views.py
def my_view(request):
con = sqlite3.connect("db.sqlite3")
df = pd.read_sql_query("SELECT * from visualapp_health", con)
a = df.fillna(0)
a['x-Mean'] = abs(a['Age'] - a['Age'].mean())
a['1.96*std'] = 1.96*a['Age'].std()
a['Outlier'] = abs(a['Age'] - a['Age'].mean()) > 1.96*a['Age'].std()
con.close()
return render(request, 'visual.html', {'visual': a})
I am able to get all the Data when using Django templates but somehow I don't able to understand how to make an API of all the data using django-rest- framework.

Answer 1

I finally got it I used django-pandas library and it worked and there is no need to connect to the database just convert your django queryset to pandas dataframe.