Python for Finance Cookbook

How to do it...

Execute the following steps to load a dataset into Python.

1. Import the libraries:

import pandas as pd

2. Preview a CSV file:

!head -n 5 credit_card_default.csv

The output looks like this:

3. Load the data from the CSV file:

df = pd.read_csv('credit_card_default.csv', index_col=0,                   na_values='')

The DataFrame has 30,000 rows and 24 columns.

4. Separate the features from the target:

X = df.copy()y = X.pop('default_payment_next_month')

After running this block of code, X no longer contains the target column.