[python] Convert pandas DataFrame into list of lists

I have a pandas data frame like this:

admit   gpa  gre  rank   
0  3.61  380     3  
1  3.67  660     3  
1  3.19  640     4  
0  2.93  520     4

Now I want to get a list of rows in pandas like:

[[0,3.61,380,3], [1,3.67,660,3], [1,3.19,640,4], [0,2.93,520,4]]   

How can I do it?

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()

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]]

you can do it like this:

map(list, df.values)