IBM's intra-day graphical representations
We could demonstrate the price movement of a stock for a given period, for example, from January 2009 to today. First, let's look at the intra-day price pattern. The following program will be explained in the next chapter:
import pandas as pd, numpy as np, datetime ticker='AAPL' path='http://www.google.com/finance/getprices?q=ttt&i=60&p=1d&f=d,o,h,l,c,v' p=np.array(pd.read_csv(path.replace('ttt',ticker),skiprows=7,header=None)) date=[] for i in arange(0,len(p)): if p[i][0][0]=='a': t= datetime.datetime.fromtimestamp(int(p[i][0].replace('a',''))) date.append(t) else: date.append(t+datetime.timedelta(minutes =int(p[i][0]))) final=pd.DataFrame(p,index=date) final.columns=['a','Open','High','Low','Close','Vol'] del final['a'] x=final.index y=final.Close title('Intraday...