I have namedtuples defined as follows:

```
In[37]: from collections import namedtuple
        Point = namedtuple('Point', 'x y')

```

The nested dictionary has the following format:

```
In[38]: d
Out[38]: 
{1: {None: {1: Point(x=1.0, y=5.0), 2: Point(x=4.0, y=8.0)}},
2: {None: {1: Point(x=45324.0, y=24338.0), 2: Point(x=45.0, y=38.0)}}}

```

I am trying to create a pandas dataframe from the dictionary d without having to do for loops.

I have succeeded in creating the dataframe from a subset of the dictionary by doing this:

```
In[40]: df=pd.DataFrame(d[1][None].values())

In[41]: df

Out[41]: 
   x  y
0  1  5
1  4  8

```

But i want to be able to create the dataframe from the entire dictionary.

I want the dataframe to output the following (i am using multi index notation):

```
In[42]: df
Out[42]:
Subcase Step ID  x       y
1       None 1   1.0     5.0
             2   4.0     8.0
2       None 1   45324.0 24338.0
             2   45.0    38.0

```

The from\_dict method of DataFrame, only supports up to two levels of nesting, so i was not able to use it. I am also considering modifying the structure of the d dictionary to achieve my goal. Furthermore, maybe it does not have to be a dictionary.

Thank you.