Convert pandas DataFrame into list of lists [duplicate]

Answer 1

you can do it like this:

map(list, df.values)

Answer 2

EDIT: as_matrix is deprecated since version 0.23.0

You can use the built in values or to_numpy (recommended option) method on the dataframe:

In [8]:
df.to_numpy()

Out[8]:
array([[  0.9,   7. ,   5.2, ...,  13.3,  13.5,   8.9],
   [  0.9,   7. ,   5.2, ...,  13.3,  13.5,   8.9],
   [  0.8,   6.1,   5.4, ...,  15.9,  14.4,   8.6],
   ..., 
   [  0.2,   1.3,   2.3, ...,  16.1,  16.1,  10.8],
   [  0.2,   1.3,   2.4, ...,  16.5,  15.9,  11.4],
   [  0.2,   1.3,   2.4, ...,  16.5,  15.9,  11.4]])

If you explicitly want lists and not a numpy array add .tolist():

df.to_numpy().tolist()

Answer 3

There is a built in method which would be the fastest method also, calling tolist on the .values np array:

df.values.tolist()

[[0.0, 3.61, 380.0, 3.0],
 [1.0, 3.67, 660.0, 3.0],
 [1.0, 3.19, 640.0, 4.0],
 [0.0, 2.93, 520.0, 4.0]]