How to do it...

The following code plots the time series chart of the Google Stock Price:

1. Load the Google Stock Price file (date and price) into x, y coordinates:

stock = pd.read_csv('GOOG.csv', header=None, delimiter=',')

2.  Add column names:

stock.columns = ['date','price']

3. Convert the pandas DataFrame into a time series:

stock['date'] = pd.to_datetime(stock['date'], format='%d-%m-%Y') 

4. Set the date as the index for the pandas DataFrame:

indexed_stock = stock.set_index('date') 
ts = indexed_stock['price']

5. Plot the graph:

plt.plot(ts)

6. Display the graph on the screen:

plt.show()