code: import numpy as np
  
  from bokeh.layouts import gridplot
  from bokeh.plotting import figure, show, output_file
  from bokeh.sampledata.stocks import AAPL, GOOG, IBM, MSFT
  
  def datetime(x):
      return np.array(x, dtype=np.datetime64)
  
  p1 = figure(x_axis_type="datetime", title="Stock Closing Prices")
  p1.grid.grid_line_alpha=0.3
  p1.xaxis.axis_label = 'Date'
  p1.yaxis.axis_label = 'Price'
  
  p1.line(datetime(AAPL['date']), AAPL['adj_close'], color='#A6CEE3', legend_label='AAPL')
  p1.line(datetime(GOOG['date']), GOOG['adj_close'], color='#B2DF8A', legend_label='GOOG')
  p1.line(datetime(IBM['date']), IBM['adj_close'], color='#33A02C', legend_label='IBM')
  p1.line(datetime(MSFT['date']), MSFT['adj_close'], color='#FB9A99', legend_label='MSFT')
  p1.legend.location = "top_left"
  
  aapl = np.array(AAPL['adj_close'])
  aapl_dates = np.array(AAPL['date'], dtype=np.datetime64)
  
  window_size = 30
  window = np.ones(window_size)/float(window_size)
  aapl_avg = np.convolve(aapl, window, 'same')
  
  p2 = figure(x_axis_type="datetime", title="AAPL One-Month Average")
  p2.grid.grid_line_alpha = 0
  p2.xaxis.axis_label = 'Date'
  p2.yaxis.axis_label = 'Price'
  p2.ygrid.band_fill_color = "olive"
  p2.ygrid.band_fill_alpha = 0.1
  
  p2.circle(aapl_dates, aapl, size=4, legend_label='close',
            color='darkgrey', alpha=0.2)
  
  p2.line(aapl_dates, aapl_avg, legend_label='avg', color='navy')
  p2.legend.location = "top_left"
  
  output_file("stocks.html", title="stocks.py example")
  
  show(gridplot([[p1,p2]], plot_width=400, plot_height=400))  # open a browser
  
apis: numpy.array numpy.ones numpy.convolve