I’d need to create a dataframe having two columns, one for nodes and the other one for their degree.

I calculated the degree of each node as : `d = dict(G.degree)`

where G is `G = nx.from_pandas_edgelist(tf, 'N', 'T')`

.

`tf`

is

```
N T
name1 name
name2 name1
name4 name2
```

…

The output from `d`

is

```
{
'name1': 9,
'name2': 1,
'name3': 1,
'name4': 1, ...}
```

I wrongly tried to convert it into a dataframe as follows

```
degree=pd.DataFrame.from_dict(data, orient='index', columns=['N', 'Degree'])
```

but I have got the error ValueError: 2 columns passed, passed data had 300 columns.

### >Solution :

If I understood it correctly, you want the following

```
data = {'name1': 9, 'name2': 1, 'name3': 1, 'name4': 1}
df = pd.DataFrame(data.items(), columns=['N', 'Degree'])
```

**Output**

```
>>> df
N Degree
0 name1 9
1 name2 1
2 name3 1
3 name4 1
```