In a previous post, I introduced the new historical stock pricing function in the ystockquote.py module.
Here is an interesting use of the module to create sparklines of historical stock pricing for a given stock.
To generate the sparklines, I use Grig Gheorghiu's Sparkplot Python module (which uses Matplotlib for graphing).
This module expects a file named data.txt, which contains lines of data to be graphed. All you need to do is generate a data file with the pricing data, and the Sparkplot module will take care of the rest.
To generate the data, I use a script like this:
import ystockquote ticker = 'GOOG' start = '20080101' end = '20080523' data = ystockquote.get_historical_prices(ticker, start, end) closing_prices = [x for x in data][1:] closing_prices.reverse() fh = open('data.txt', 'w') for closing_price in closing_prices: fh.write(closing_price + '\n') fh.close()Now that you have the data.txt file setup, you can call the Sparkplot script via the command line to generate the sparkline image:
python sparkplot.py --label_first --label_last*Note: The Sparkplot module needs Matplotlib installed. The sparkline output is an image (png) like this: