Mastering pandas - Second Edition

Examining the data

To start our preprocessing of the data, let's read in the training dataset and examine what it looks like.

Here, we read the training dataset into a pandas DataFrame and display the first rows:

In [2]: import pandas as pd
        import numpy as np
# For .read_csv, always use header=0 when you know row 0 is the header row
       train_df = pd.read_csv('csv/train.csv', header=0)
In [3]: train_df.head(3)

The output is as follows:

Hence, we can see the various features: PassengerId, Survived, PClass, Name, Sex, Age, Sibsp, Parch, Ticket, Fare, Cabin, and Embarked. One question that springs to ...