import numpy as np
import pandas as pd
titanicdf = pd.read_csv("/home/aditya/vscode/student2/tested.csv")
print(titanicdf)
PassengerId Survived Pclass \
0 892 0 3
1 893 1 3
2 894 0 2
3 895 0 3
4 896 1 3
.. ... ... ...
413 1305 0 3
414 1306 1 1
415 1307 0 3
416 1308 0 3
417 1309 0 3
Name Sex Age SibSp Parch \
0 Kelly, Mr. James male 34.5 0 0
1 Wilkes, Mrs. James (Ellen Needs) female 47.0 1 0
2 Myles, Mr. Thomas Francis male 62.0 0 0
3 Wirz, Mr. Albert male 27.0 0 0
4 Hirvonen, Mrs. Alexander (Helga E Lindqvist) female 22.0 1 1
.. ... ... ... ... ...
413 Spector, Mr. Woolf male NaN 0 0
414 Oliva y Ocana, Dona. Fermina female 39.0 0 0
415 Saether, Mr. Simon Sivertsen male 38.5 0 0
416 Ware, Mr. Frederick male NaN 0 0
417 Peter, Master. Michael J male NaN 1 1
Ticket Fare Cabin Embarked
0 330911 7.8292 NaN Q
1 363272 7.0000 NaN S
2 240276 9.6875 NaN Q
3 315154 8.6625 NaN S
4 3101298 12.2875 NaN S
.. ... ... ... ...
413 A.5. 3236 8.0500 NaN S
414 PC 17758 108.9000 C105 C
415 SOTON/O.Q. 3101262 7.2500 NaN S
416 359309 8.0500 NaN S
417 2668 22.3583 NaN C
[418 rows x 12 columns]