CODEWITHSUNDEEP
pythonajaxdjangodjango-views
najmath
najmath

Reputation: 261

TypeError: Object of type 'int32' is not JSON serializable

I have to select those symptoms which is in the dictionary with the symptoms already posted.It works fine.But for some symptoms typeError is showing in command prompt and also all are getting printed in command prompt but not in html page. Here is my code

views.py

def predict(request):
sym=request.POST.getlist('symptoms[]')
sym=list(map(int,sym))
diseaseArray=[]
diseaseArray=np.array(diseaseArray,dtype=int)
dictArray=[]
for dicti in dictionary:
    if (set(sym)<= set(dicti['symptoms']) and len(sym)!= 0) or [x for x in sym if x in dicti['primary']]:
        diseaseArray=np.append(diseaseArray,dicti['primary'])
        diseaseArray=np.append(diseaseArray,dicti['symptoms'])
diseaseArray=list(set(diseaseArray))
print(diseaseArray)
for i in diseaseArray:
    if i not in sym:
        dict={'id':i}
        dictArray.append(dict)
        print(dictArray)
for j in dictArray:
    symptoms=Symptom.objects.get(syd=j['id'])
    j['name']=symptoms.symptoms
    print(j['name'])
print(len(dictArray))
return JsonResponse(dictArray,safe=False)

template

$('.js-example-basic-multiple').change(function(){
  $('#suggestion-list').html('');
  $('#suggestion').removeClass('invisible');

  $.ajax({
  url:"/predict",
  method:"post",
  data:{
    symptoms: $('.js-example-basic-multiple').val(),
  },
  success: function(data){

      data.forEach(function(disease){
      console.log(disease.name)
        $('#suggestion-list').append('<li>'+disease.name+'<li>')
        $('#suggestion-list').removeClass('invisible');
    });



  }

  });

Upvotes: 14

Views: 47633

Answers (3)

Ivo Merchiers
Ivo Merchiers

Reputation: 1688

Instead of manually casting the values to ints as the accepted answer suggests, you can usually let numpy do that for you.

Instead of calling 

diseaseArray=list(set(diseaseArray))

You can call

diseaseArray=diseaseArray.unique().tolist()

This should automatically convert any numpy-specific datatypes in the array to normal Python datatypes. In this case it will cast int32 to int, but it also supports other conversions.

Additionally, using numpys .unique() might give some speedup for large datasets.

Upvotes: 8

Will Keeling
Will Keeling

Reputation: 23054

The type of each element in diseaseArray is a np.int32 as defined by the line:

diseaseArray=np.array(diseaseArray,dtype=int)  # Elements are int32

int32 cannot be serialized to JSON by the JsonResponse being returned from the view.

To fix, convert the id value to a regular int:

def predict(request):
    ...
    for i in diseaseArray:
        if i not in sym:
            dict={'id': int(i)}  # Convert the id to a regular int
            dictArray.append(dict)
            print(dictArray)
    ...

Upvotes: 12

Kenstars
Kenstars

Reputation: 660

You seem to be trying to save non JSON serializable objects. If you want to save specific objects for later use I'd recommend you to use pickle. https://docs.python.org/3/library/pickle.html

Upvotes: 0

Related Questions