How to store a numpy arrays in a column of a Pandas dataframe?

Question

Is it possible to store arbitrary numpy arrays as the values of a single column in a dataframe of Pandas?

The arrays are all 2-dimensional, and I intend to use them to calculate values for other columns in the same dataframe.

To provide some context of what I'm trying to do here:

Each array is an adjacency matrix of some network, and for each network I want to calculate its various characteristics (e.g. density, centralities, clustering coefficient, etc) which are in fact other columns in the same dataframe.

Answer 1

Store them as elements as you would do for any other data:

import numpy as np
import pandas as pd
a = np.arange(10).reshape(2,5)
b = np.arange(10, 20).reshape(2,5)
pd.DataFrame({'foo':[42,51], 'arr':[a,b]})
Out[10]: 
                                            arr  foo
0            [[0, 1, 2, 3, 4], [5, 6, 7, 8, 9]]   42
1  [[10, 11, 12, 13, 14], [15, 16, 17, 18, 19]]   51

Note that what you try to do sounds more to use a Panel.