In [7]:
df = pd.DataFrame(np.random.randn(10,3))
df
Out[7]:
0 1 2
0 -1.230919 1.482451 0.221723
1 -0.302693 -1.650244 0.957594
2 -0.656565 0.548343 1.383227
3 0.348090 -0.721904 -1.396192
4 0.849480 -0.431355 0.501644
5 0.030110 0.951908 -0.788161
6 2.104805 -0.302218 -0.660225
7 -0.657953 0.423303 1.408165
8 -1.940009 0.476254 -0.014590
9 -0.753064 -1.083119 -0.901708
In [8]:
df.head(5)
Out[8]:
0 1 2
0 -1.230919 1.482451 0.221723
1 -0.302693 -1.650244 0.957594
2 -0.656565 0.548343 1.383227
3 0.348090 -0.721904 -1.396192
4 0.849480 -0.431355 0.501644
In [11]:
df.iloc[:5]
Out[11]:
0 1 2
0 -1.230919 1.482451 0.221723
1 -0.302693 -1.650244 0.957594
2 -0.656565 0.548343 1.383227
3 0.348090 -0.721904 -1.396192
4 0.849480 -0.431355 0.501644