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