Convert list of arrays to pandas dataframe

You can using pd.Series

pd.Series(l).apply(lambda x : pd.Series(x[0]))
Out[294]: 
   0  1  2  3  4  5  6  7  8
0  0  0  0  1  0  0  0  0  0
1  0  0  3  2  0  0  0  0  0

Option 1:

In [143]: pd.DataFrame(np.concatenate(list_arrays))
Out[143]:
   0  1  2  3  4  5  6  7  8
0  0  0  0  1  0  0  0  0  0
1  0  0  3  2  0  0  0  0  0

Option 2:

In [144]: pd.DataFrame(list(map(np.ravel, list_arrays)))
Out[144]:
   0  1  2  3  4  5  6  7  8
0  0  0  0  1  0  0  0  0  0
1  0  0  3  2  0  0  0  0  0

---

Why do I get:

ValueError: Must pass 2-d input

I think pd.DataFrame() tries to convert it to NDArray like as follows:

In [148]: np.array(list_arrays)
Out[148]:
array([[[0, 0, 0, 1, 0, 0, 0, 0, 0]],

       [[0, 0, 3, 2, 0, 0, 0, 0, 0]]], dtype=uint8)

In [149]: np.array(list_arrays).shape
Out[149]: (2, 1, 9)     # <----- NOTE: 3D array

Alt 1

pd.DataFrame(sum(map(list, list_arrays), []))

   0  1  2  3  4  5  6  7  8
0  0  0  0  1  0  0  0  0  0
1  0  0  3  2  0  0  0  0  0

Alt 2

pd.DataFrame(np.row_stack(list_arrays))

   0  1  2  3  4  5  6  7  8
0  0  0  0  1  0  0  0  0  0
1  0  0  3  2  0  0  0  0  0