series

import pandas as pd

Python

선언

s1 = pd.Series([1, 3, np.nan, 2, 4])
s2 = pd.Series(np.arange(10))

dic3 = {"D":500, "E":400, "F":300}
s3 = pd.Series(dic3)

Python

index 설정

s = pd.Series(np.random.randint(10, size=5), index=list("ABCDE"))

Python

A 6
B 3
c 0
D 8
E 4

Python

데이터 확인

list(s.index), list(s.values)

Python

(['A', 'B', 'C', 'D', 'E'], [6, 3, 0, 8, 4])

Python

string = "B"
s.B, s["B"], s[string]

Python

(3, 3, 3)

Python

이름 설정

s.name = "random_number_series"
s.index.name = "id"
s

Python

id
A    6
B    3
C    0
D    8
E    4
Name: random_number_series, dtype: int64

Python

연산(브로드캐스팅)

s * 5

Python

A    6
B    3
C    0
D    8
E    4

Python

데이터 선택

s[list("BCD")]
s[s>5]

Python

B    3
C    0
D    8

A    6
D    8

Python

offset

s[::-1]

Python

E    4
D    8
C    0
B    3
A    6

Python

NaN data

sum_s_s3 = s + s3

Python

A      NaN
B      NaN
C      NaN
D    508.0
E    404.0
F      NaN

Python

sum_s_s3.isnull()

Python

A     True
B     True
C     True
D    False
E    False
F     True
dtype: bool

Python

sum_s_s3[sum_s_s3.isnull()] = s

Python

A      6.0
B      3.0
C      0.0
D    508.0
E    404.0
F      NaN

Python

sum_s_s3[sum_s_s3.isnull()] = s3

Python

A      6.0
B      3.0
C      0.0
D    508.0
E    404.0
F    300.0

Python