3. A Deep Dive into Matplotlib

Activity 3.01: Visualizing Stock Trends by Using a Line Plot

Solution:

Visualize a stock trend by using a line plot:

1. Create an Activity3.01.ipynb Jupyter notebook in the Chapter03/Activity3.01 folder to implement this activity.
2. Import the necessary modules and enable plotting within the Jupyter notebook:

   # Import statements
   import matplotlib.pyplot as plt
   import numpy as np
   import pandas as pd
   %matplotlib inline

3. Use pandas to read the datasets (GOOGL_data.csv, FB_data.csv, AAPL_data.csv, AMZN_data.csv, and MSFT_data.csv) located in the Datasets folder. The read_csv() function reads a .csv file into a DataFrame:

   # load datasets
   google = pd.read_csv('../../Datasets/GOOGL_data.csv')
   facebook = pd.read_csv('../../Datasets/FB_data.csv')
   apple = pd.read_csv('../../Datasets/AAPL_data.csv')
   amazon = pd.read_csv('../../Datasets/AMZN_data.csv')
   microsoft = pd.read_csv('../../Datasets/MSFT_data.csv...