Python : Convert 2D numpy array to pandas series

Question

I have a 2D numpy array like below, which I would like to store in a pandas column. I'm unable to find relevant example any where upon search. Please help.Thanks!

#2D array
[[0,2],[2,3]]

#Expected output is pandas dataframe with single column :
[0,2]
[2,3]

pd.Series(data)

ComplicatedPhenomenon
– ComplicatedPhenomenon

2020-04-17 10:13:30 +00:00
Commented Apr 17, 2020 at 10:13 — ComplicatedPhenomenon
– ComplicatedPhenomenon, Commented Apr 17, 2020 at 10:13

jezrael · Accepted Answer · 2021-06-22 09:18:58Z

2

IIUC use:

a = np.array([[0,2],[2,3]])
s = pd.Series(a.tolist())
print (s)
0    [0, 2]
1    [2, 3]
dtype: object

EDIT: For avoid lists use:

a = np.array([[0,2],[2,3]])
s = pd.Series(list(a))
print (s)
0    [0, 2]
1    [2, 3]
dtype: object

print (s.apply(type))
0    <class 'numpy.ndarray'>
1    <class 'numpy.ndarray'>
dtype: object

edited Jun 22, 2021 at 9:18

answered Apr 17, 2020 at 10:14

jezrael

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2 Comments

Toby Over a year ago

But how to do this if I want the elemnts to remain numpy arrays, not python lists?

jezrael Over a year ago

@Toby - added better simplier solution.

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