Python与数据科学实战课程——第三章Pandas：Reindexing Series and DataFrame

import numpy as np
import pandas as pd
from pandas import Series,DataFrame

Series reindex

s1 = Series([1,2,3,4],index=["A","B","C","D"])
s1

A 1
B 2
C 3
D 4
dtype: int64

s1.reindex(index=["A","B","C","D","E"])

A 1.0
B 2.0
C 3.0
D 4.0
E NaN
dtype: float64

s1.reindex(index=["A","B","C","D","E"],fill_value=10)

A 1
B 2
C 3
D 4
E 10
dtype: int64

s2 = Series(["a","b","c"],index=[1,5,10])
s2

1 a
5 b
10 c
dtype: object

s2.reindex(index=range(15))

0 NaN
1 a
2 NaN
3 NaN
4 NaN