How to add multiple array outputs to a dataframe?

Question

I am working with probabilities, when I print the output, it looks as follows:

[[4.88915104e-308 1.43405787e-307 2.20709896e-308 ... 3.08740254e-307
  1.68481486e-307 1.72126050e-307]
 [1.64744295e-004 8.66082462e-004 7.66062761e-005 ... 1.85613403e-003
  9.68750380e-004 8.22260750e-004]
 [6.18964539e-004 1.85605606e-003 2.71300593e-004 ... 3.86232296e-003
  2.01921300e-003 2.18304351e-003]],

Is there a way in pandas to store it as a DataFrame?

Desired output:

Index Value

0                  [4.88915104e-308 1.43405787e-307 2.20709896e-308 ... 3.08740254e-307
                    1.68481486e-307 1.72126050e-307]

1                  [1.64744295e-004 8.66082462e-004 7.66062761e-005 ... 1.85613403e-003
                    9.68750380e-004 8.22260750e-004]

2                  [6.18964539e-004 1.85605606e-003 2.71300593e-004 ... 3.86232296e-003
                    2.01921300e-003 2.18304351e-003]

I tried a lot of ways but I get :

ValueError: Wrong number of items passed 6, placement implies 1

Could you provide the code which produces the error you are showing? — Felix
– Felix, Commented Jun 22, 2022 at 12:19
So you want the full values of arrays to be in the DataFrame cells? Why do you want them in a DataFrame, exactly? — mabergerx
– mabergerx, Commented Jun 22, 2022 at 12:19

jezrael · Accepted Answer · 2022-06-22 12:18:46Z

2

Yes, it is possible if convert 2d array to list:

df = pd.DataFrame({'col':arr.tolist()})

Or:

s = pd.Series(arr.tolist())

answered Jun 22, 2022 at 12:18

jezrael

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