# recover dict from 0-d numpy array

## Question:

What happened is that I (by mistake) saved a dictionary with the command `numpy.save()`

(no error messages shown) and now I need to recover the data in the dictionary. When I load it with `numpy.load()`

it has type (`numpy.ndarray`

) and is 0-d, so it is not a dictionary any more and I can’t access the data in it, 0-d arrays are not index-able so doing something like

```
mydict = numpy.load('mydict')
mydict[0]['some_key']
```

doesn’t work. I also tried

```
recdict = dict(mydict)
```

but that didn’t work either.

Why numpy didn’t warn me when I saved the dictionary with `numpy.save()`

?

Is there a way to recover the data?

Thanks in advance!

## Answers:

Use `mydict.item()`

to obtain the array element as a Python scalar.

```
>>> import numpy as np
>>> np.save('/tmp/data.npy',{'a':'Hi Mom!'})
>>> x=np.load('/tmp/data.npy')
>>> x.item()
{'a': 'Hi Mom!'}
```

0-d arrays can be indexed using the empty tuple:

```
>>> import numpy as np
>>> x = np.array({'x': 1})
>>> x
array({'x': 1}, dtype=object)
>>> x[()]
{'x': 1}
>>> type(x[()])
<type 'dict'>
```

It’s a way to recover the `dict type`

data that using `'allow_pickle=True'`

and `'.tolist()'`

.

I hope it will help you.

```
numpy.save('mydict.npy', org_dict)
# load & convert type to dict
mydict = numpy.load('mydict.npy', allow_pickle=True)
re_dict = mydict.tolist()
print('re_dict :', type(re_dict), re_dict) # 're_dict' is '<type dict>'
```