Convert numpy matrix to pandas dataframe or series by row

Question

I have a numpy matrix and I'd like to convert it to a pandas dataframe/series. An example:

m = np.array([[1, 2], [11, 22]])

which would result in

        a
0   [1,   2]
1   [11, 22]

Answer 1

m = np.array([[1, 2], [11, 22]])
pd.DataFrame({'col':[z for z in m]})

    col
0   [1, 2]
1   [11, 22]

Or, as per @pault

pd.DataFrame({'col':list(m)})

    col
0   [1, 2]
1   [11, 22]