Stocks data using Python (Example)

pandas_datareader is a good package for downloading stocks data. It uses pandas, which can be used to perform analysis. In this example, the stock price for Netflix is downloaded and plotted. Also, a rolling 60-days average is added to the plot.

	import datetime
	import matplotlib.pyplot as plt
	import pandas as pd
	import pandas_datareader
	# Download the Stock
	s = pandas_datareader.get_data_yahoo("NFLX", start=datetime.datetime(2018,1,1))
	# Plot it
	plt.figure(figsize=(10, 5))
	plt.plot(s["Adj Close"], label="NFLX")
	plt.plot(s["Adj Close"].rolling(60).mean(), label="60 Days Rolling Mean")
	plt.xticks(rotation=90)
	plt.grid()
	plt.legend()
	plt.show()

view raw stock_example.py hosted with ❤ by GitHub

Note: remember to pip install pandas matplotlib pandas_datareader