Skip to content
Course Notes: Introduction to Portfolio Risk Management in Python
Introduction to Portofolio Returns
Use this workspace to take notes, store code snippets, or build your own interactive cheatsheet! For courses that use data, the datasets will be available in the datasets folder.
# Import any packages you want to use here
import pandas as pdOpen CSV data. parse dates and sort by date
import pandas as pd
StockPrices = pd.read_csv('datasets/MSFTPrices.csv', parse_dates=['Date'])
StockPrices = StockPrices.sort_values(by='Date')
print(df.head())#Calculate dailu returns of the adjusted price change
StockPrices = StockPrices['Adjusted'].pct_change()
StockPrices.head()