I am trying to create a numpy structured array but I can't figure out the correct way to format my column titles/column types for arrays within arrays. I keep getting the `setting an array element with a sequence` message, but I can convert the list into an unstructured array without a problem so the problem is in the formatting of the dtypes in the sub-arrays.

**Code**

```
#Number of People
numOfP=5
#Array of people's ids
ids=np.array(range(0,numOfP),dtype='int64')
#People object
temp=[];
peoType=np.dtype({
    'names':
    ['id','value','ability','helpNeeded','helpOut','helpIn'],
    'formats':
    ['int64','float64','float32','float32','object','object'],
    'aligned':True
});
#Populate people with attributes
for id in ids:
    temp.append([
        #0 - id
        id,
        #1 - people's value
        sts.lognorm.rvs(.5)*100000,
        #2 - people's ability
        (1/(sts.lognorm.rvs(.99)+1)),
        #3 - help needed
        ((sts.lognorm.rvs(.99))*100),
        #4 - people helped
#This is where the problem is, if I get rid of these arrays, and the associated dtypes, there are no errors
        np.zeros(numOfP),
        #5 - people who helped you
        np.zeros(numOfP)
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    ])
peoType
temp
#doing np.array(temp), without the dtype works
temp=np.asarray(temp)      #doesn't change anything
temp
peo=np.array(temp,peoType) #where things break

```

**dtype**

```
{'names': ['id', 'value', 'ability', 'helpNeeded', 'helpOut', 'helpIn'],
 'formats': ['int64', 'float64', 'float32', 'float32', 'object', 'object'],
 'aligned': True}

```

**Error message**

```
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
e:\xampp\htdocs\Math2Code\cooperate.py in 
     52     ])
     53 peoType
---> 54 peo=np.array(temp,peoType)

ValueError: setting an array element with a sequence.

```

**Contents of `temp` List**

```
[[0,
  86381.14170220899,
  0.12974876676966007,
  49.537761763004056,
  array([0., 0., 0., 0., 0.]),
  array([0., 0., 0., 0., 0.])],
 [1,
  95532.94886721167,
  0.3886984384013719,
  49.9244719570076,
  array([0., 0., 0., 0., 0.]),
  array([0., 0., 0., 0., 0.])],
 [2,
  53932.09250542036,
  0.6518993291826463,
  92.72979425242384,
  array([0., 0., 0., 0., 0.]),
  array([0., 0., 0., 0., 0.])],
 [3,
  161978.14156816195,
  0.49130827569636754,
  56.44742176255372,
  array([0., 0., 0., 0., 0.]),
  array([0., 0., 0., 0., 0.])],
 [4,
  38679.21128565417,
  0.6979042712239539,
  132.35562828412765,
  array([0., 0., 0., 0., 0.]),
  array([0., 0., 0., 0., 0.])]]

```

**Contents of `temp` after converted to a unstructured array**

```
array([[0, 119297.86954924025, 0.38806815548557444, 487.4877681755314,
        array([0., 0., 0., 0., 0.]), array([0., 0., 0., 0., 0.])],
       [1, 75215.69897153028, 0.5387632600167043, 83.27487024641633,
        array([0., 0., 0., 0., 0.]), array([0., 0., 0., 0., 0.])],
       [2, 88986.345811315, 0.2533847055636237, 48.52795408229029,
        array([0., 0., 0., 0., 0.]), array([0., 0., 0., 0., 0.])],
       [3, 80539.81607335186, 0.27683829962996226, 226.25682883690638,
        array([0., 0., 0., 0., 0.]), array([0., 0., 0., 0., 0.])],
       [4, 40429.11615682778, 0.5748035151329913, 226.69671215072958,
        array([0., 0., 0., 0., 0.]), array([0., 0., 0., 0., 0.])]],
      dtype=object)

```

**Output of the peoType np.dtype variable when used in a 2x2 np.zeros array:**

Input

```
np.zeros(2, peoType)

```

Output

```
array([(0, 0., 0., 0., 0, 0), (0, 0., 0., 0., 0, 0)],
      dtype={'names':['id','value','ability','helpNeeded','helpOut','helpIn'], 'formats':['<i8','<f8','<f4','<f4','O','O'], 'offsets':[0,8,16,20,24,32], 'itemsize':40, 'aligned':True})

```

*Why the rows rapped in tuples????*