5. Pandas Series

1. Labeled Data

A Series is a NumPy array with an Index.

• NumPy: Accessed by integer position (0, 1, 2...).
• Series: Accessed by label ('Apple', 'Microsoft'...).

python
import pandas as pd
s = pd.Series([100, 200], index=['AAPL', 'GOOG'])
print(s['AAPL']) # 100

2. Time Series

Pandas was built for Wall Street. It handles dates natively.

python
# Automatic Date Ranges
dates = pd.date_range('20240101', periods=6)