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-dim

Answer 1

What do you mean store arbitrary numpy arrays as the values of a column in a dataframe of Pandas?

Something like this?

import numpy as np
import pandas as pd


x = np.random.randn(50, 25)
random_frame = pd.DataFrame(x)

This will store the array x in a DataFrame where the column names are 0, 1, 2, 3... Could you clarify? I think this is more a comment, but I don't know if I can comment yet.

Answer 2

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.