mean

import pandas as pd
# 加载数据
train_df = pd.read_csv('./data/train.csv')
test_df = pd.read_csv('./data/test.csv')
# 查看DataFrame信息
train_df

.dataframe tbody tr th:only-of-type { vertical-align: middle; } .dataframe tbody tr th { vertical-align: top; } .dataframe thead th { text-align: right; }

PassengerId

Survived

Pclass

Name

Sex

Age

SibSp

Parch

Ticket

Fare

Cabin

Embarked

0

1

0

3

Braund, Mr. Owen Harris

male

22.0

1

0

A/5 21171

7.2500

NaN

S

1

2

1

1

Cumings, Mrs. John Bradley (Florence Briggs Th...

female

38.0

1

0

PC 17599

71.2833

C85

C

2

3

1

3

Heikkinen, Miss. Laina

female

26.0

0

0

STON/O2. 3101282

7.9250

NaN

S

3

4

1

1

Futrelle, Mrs. Jacques Heath (Lily May Peel)

female

35.0

1

0

113803

53.1000

C123

S

4

5

0

3

Allen, Mr. William Henry

male

35.0

0

0

373450

8.0500

NaN

S

5

6

0

3

Moran, Mr. James

male

NaN

0

0

330877

8.4583

NaN

Q

6

7

0

1

McCarthy, Mr. Timothy J

male

54.0

0

0

17463

51.8625

E46

S

7

8

0

3

Palsson, Master. Gosta Leonard

male

2.0

3

1

349909

21.0750

NaN

S

8

9

1

3

Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)

female

27.0

0

2

347742

11.1333

NaN

S

9

10

1

2

Nasser, Mrs. Nicholas (Adele Achem)

female

14.0

1

0

237736

30.0708

NaN

C

10

11

1

3

Sandstrom, Miss. Marguerite Rut

female

4.0

1

1

PP 9549

16.7000

G6

S

11

12

1

1

Bonnell, Miss. Elizabeth

female

58.0

0

0

113783

26.5500

C103

S

12

13

0

3

Saundercock, Mr. William Henry

male

20.0

0

0

A/5. 2151

8.0500

NaN

S

13

14

0

3

Andersson, Mr. Anders Johan

male

39.0

1

5

347082

31.2750

NaN

S

14

15

0

3

Vestrom, Miss. Hulda Amanda Adolfina

female

14.0

0

0

350406

7.8542

NaN

S

15

16

1

2

Hewlett, Mrs. (Mary D Kingcome)

female

55.0

0

0

248706

16.0000

NaN

S

16

17

0

3

Rice, Master. Eugene

male

2.0

4

1

382652

29.1250

NaN

Q

17

18

1

2

Williams, Mr. Charles Eugene

male

NaN

0

0

244373

13.0000

NaN

S

18

19

0

3

Vander Planke, Mrs. Julius (Emelia Maria Vande...

female

31.0

1

0

345763

18.0000

NaN

S

19

20

1

3

Masselmani, Mrs. Fatima

female

NaN

0

0

2649

7.2250

NaN

C

20

21

0

2

Fynney, Mr. Joseph J

male

35.0

0

0

239865

26.0000

NaN

S

21

22

1

2

Beesley, Mr. Lawrence

male

34.0

0

0

248698

13.0000

D56

S

22

23

1

3

McGowan, Miss. Anna "Annie"

female

15.0

0

0

330923

8.0292

NaN

Q

23

24

1

1

Sloper, Mr. William Thompson

male

28.0

0

0

113788

35.5000

A6

S

24

25

0

3

Palsson, Miss. Torborg Danira

female

8.0

3

1

349909

21.0750

NaN

S

25

26

1

3

Asplund, Mrs. Carl Oscar (Selma Augusta Emilia...

female

38.0

1

5

347077

31.3875

NaN

S

26

27

0

3

Emir, Mr. Farred Chehab

male

NaN

0

0

2631

7.2250

NaN

C

27

28

0

1

Fortune, Mr. Charles Alexander

male

19.0

3

2

19950

263.0000

C23 C25 C27

S

28

29

1

3

O'Dwyer, Miss. Ellen "Nellie"

female

NaN

0

0

330959

7.8792

NaN

Q

29

30

0

3

Todoroff, Mr. Lalio

male

NaN

0

0

349216

7.8958

NaN

S

...

...

...

...

...

...

...

...

...

...

...

...

...

861

862

0

2

Giles, Mr. Frederick Edward

male

21.0

1

0

28134

11.5000

NaN

S

862

863

1

1

Swift, Mrs. Frederick Joel (Margaret Welles Ba...

female

48.0

0

0

17466

25.9292

D17

S

863

864

0

3

Sage, Miss. Dorothy Edith "Dolly"

female

NaN

8

2

CA. 2343

69.5500

NaN

S

864

865

0

2

Gill, Mr. John William

male

24.0

0

0

233866

13.0000

NaN

S

865

866

1

2

Bystrom, Mrs. (Karolina)

female

42.0

0

0

236852

13.0000

NaN

S

866

867

1

2

Duran y More, Miss. Asuncion

female

27.0

1

0

SC/PARIS 2149

13.8583

NaN

C

867

868

0

1

Roebling, Mr. Washington Augustus II

male

31.0

0

0

PC 17590

50.4958

A24

S

868

869

0

3

van Melkebeke, Mr. Philemon

male

NaN

0

0

345777

9.5000

NaN

S

869

870

1

3

Johnson, Master. Harold Theodor

male

4.0

1

1

347742

11.1333

NaN

S

870

871

0

3

Balkic, Mr. Cerin

male

26.0

0

0

349248

7.8958

NaN

S

871

872

1

1

Beckwith, Mrs. Richard Leonard (Sallie Monypeny)

female

47.0

1

1

11751

52.5542

D35

S

872

873

0

1

Carlsson, Mr. Frans Olof

male

33.0

0

0

695

5.0000

B51 B53 B55

S

873

874

0

3

Vander Cruyssen, Mr. Victor

male

47.0

0

0

345765

9.0000

NaN

S

874

875

1

2

Abelson, Mrs. Samuel (Hannah Wizosky)

female

28.0

1

0

P/PP 3381

24.0000

NaN

C

875

876

1

3

Najib, Miss. Adele Kiamie "Jane"

female

15.0

0

0

2667

7.2250

NaN

C

876

877

0

3

Gustafsson, Mr. Alfred Ossian

male

20.0

0

0

7534

9.8458

NaN

S

877

878

0

3

Petroff, Mr. Nedelio

male

19.0

0

0

349212

7.8958

NaN

S

878

879

0

3

Laleff, Mr. Kristo

male

NaN

0

0

349217

7.8958

NaN

S

879

880

1

1

Potter, Mrs. Thomas Jr (Lily Alexenia Wilson)

female

56.0

0

1

11767

83.1583

C50

C

880

881

1

2

Shelley, Mrs. William (Imanita Parrish Hall)

female

25.0

0

1

230433

26.0000

NaN

S

881

882

0

3

Markun, Mr. Johann

male

33.0

0

0

349257

7.8958

NaN

S

882

883

0

3

Dahlberg, Miss. Gerda Ulrika

female

22.0

0

0

7552

10.5167

NaN

S

883

884

0

2

Banfield, Mr. Frederick James

male

28.0

0

0

C.A./SOTON 34068

10.5000

NaN

S

884

885

0

3

Sutehall, Mr. Henry Jr

male

25.0

0

0

SOTON/OQ 392076

7.0500

NaN

S

885

886

0

3

Rice, Mrs. William (Margaret Norton)

female

39.0

0

5

382652

29.1250

NaN

Q

886

887

0

2

Montvila, Rev. Juozas

male

27.0

0

0

211536

13.0000

NaN

S

887

888

1

1

Graham, Miss. Margaret Edith

female

19.0

0

0

112053

30.0000

B42

S

888

889

0

3

Johnston, Miss. Catherine Helen "Carrie"

female

NaN

1

2

W./C. 6607

23.4500

NaN

S

889

890

1

1

Behr, Mr. Karl Howell

male

26.0

0

0

111369

30.0000

C148

C

890

891

0

3

Dooley, Mr. Patrick

male

32.0

0

0

370376

7.7500

NaN

Q

891 rows × 12 columns

# 计算均值
train_df.mean()
PassengerId    446.000000
Survived         0.383838
Pclass           2.308642
Age             29.699118
SibSp            0.523008
Parch            0.381594
Fare            32.204208
dtype: float64
# 计算某一列均值
train_df['Age'].mean()
29.69911764705882

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