Compare monthly average stock prices for Facebook and Google

Now, you'll apply your new resampling skills to daily stock price series for Facebook and Google for the 2015-2016 period to compare the trend of the monthly averages.

This exercise is part of the course

Manipulating Time Series Data in Python

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Exercise instructions

We have again imported pandas as pd and matplotlib.pyplot as plt for you.

Use pd.read_csv() to import 'stocks.csv' and set a DateTimeIndex based on the 'date' column using parse_dates and index_col, assign the result to stocks and inspect using .info().
Create monthly_average by applying .resample() with monthly frequency to data, using .mean() to aggregate. Plot the result using subplots.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Import and inspect data here
stocks = ____
print(___)

# Calculate and plot the monthly averages
monthly_average = ____

Edit and Run Code