Examples

import numpy as np
import pandas as pd

df = pd.DataFrame([('eagle', 'bird',    320.0),
                   ('sparrow', 'bird',     30.0),
                   ('tiger',   'mammal',   90.5),
                   ('deer', 'mammal', np.nan)],
                   columns=['name', 'class', 'max_speed'],
                   index=[0, 2, 3, 1])
df

	name	class	max_speed
0	eagle	bird	320.0
2	sparrow	bird	30.0
3	tiger	mammal	90.5
1	deer	mammal	NaN

Take elements at positions 0 and 3 along the axis 0 (default):

df.take([0, 3])

	name	class	max_speed
0	eagle	bird	320.0
1	deer	mammal	NaN

Take elements at indices 1 and 2 along the axis 1 (column selection):

df.take([1, 2], axis=1)

	class	max_speed
0	bird	320.0
2	bird	30.0
3	mammal	90.5
1	mammal	NaN

We may take elements using negative integers for positive indices, starting from the
end of the object, just like with Python lists:

df.take([-1, -2])

	name	class	max_speed
1	deer	mammal	NaN
3	tiger	mammal	90.5