import numpy as np import pandas as pd
s = pd.Series(np.arange(5, 10)+1, np.arange(0, 5)+1)
s>6
1 False 2 True 3 True 4 True 5 True dtype: bool
s[s>6]
2 7 3 8 4 9 5 10 dtype: int32
s[s%2==0]
1 6 3 8 5 10 dtype: int32
s.index >3
array([False, False, False, True, True])
s[s.index>3]
4 9 5 10 dtype: int32
s[(s>5) & (s<9) & (s %2 ==0)]
1 6 3 8 dtype: int32
(s>=7).sum()
4
(s[s>=7]).sum()
34