循环几个值以填充数据帧中的NAN

使用

s.loc[s.isna()]=[10,20,30]*(s.isna().sum()//3)+[10,20,30][:s.isna().sum()%3]
s
Out[271]: 
0     10.0
1     20.0
2     30.0
3     10.0
4     20.0
5      9.0
6     30.0
...

不需要将值转换为 NaN

np.random.seed(0)
s = pd.Series(np.random.randint(0,100, 50))

loc np.resize :

mask = s > 25
s.loc[mask] = np.resize([10, 20, 30], mask.sum())

pd.Series.mask

s = s.mask(s > 25, np.resize([10, 20, 30], len(s.index)))

结果:

print(s.head(10))
# 0    10
# 1    20
# 2    30
# 3    10
# 4    20
# 5     9
# 6    30
# 7    21
# 8    10
# 9    20
# dtype: int32