Class objects stored in numpy.array() not working properly

Question

I am trying to create an array of objects for the class value. But the values of all the objects become equal.

import numpy as np

class value:
  def store(self,jobid,deadline,profit):
    self.job = jobid
    self.deadline = deadline
    self.profit = profit

  def initialize(self):
    job = input()
    deadline = int(input())
    profit= int(input())
    self.store(job,deadline,profit)


def disp(arr,n):
  for i in range(n):
    print(str(arr[i].job)+" "+str(arr[i].deadline)+" "+str(arr[i].profit))


n=2
arr = np.array([None for i in range(n)])
val = value()

for i in range(n):
  val.initialize()
  arr[i]=val

disp(arr,n)

Input

Expected output
A 2 3
B 2 1

Output I am getting
B 2 1
B 2 1

What am I be doing wrong and what might fix it?

TToni · Accepted Answer · 2021-11-02 13:47:10Z

2

You are creating only one instance of your class with the initial call to value(). Calls to initialize and store just modify the content of that instance.

You then assign the same instance to all array elements.

To fix this, you need to create new instances by putting the val = value() inside the loop.

answered Nov 2, 2021 at 13:47

TToni

9,4011 gold badge33 silver badges44 bronze badges

Sign up to request clarification or add additional context in comments.

Collectives™ on Stack Overflow

Class objects stored in numpy.array() not working properly

1 Answer 1

Comments

Your Answer

Hot Network Questions

Collectives™ on Stack Overflow

1 Answer 1

Comments

Your Answer

Sign up or log in

Post as a guest

Related