Stock chart with oscillator using bokeh

stock_chart.py

import numpy as np
from bokeh.layouts import column
from bokeh.plotting import figure, show, output_file
# imports for the example
import random
from bokeh.sampledata.stocks import AAPL, GOOG, IBM, MSFT


def datetime(x):
    return np.array(x, dtype=np.datetime64)


def create_plot(chart_title):
    plot = figure(x_axis_type="datetime", title=chart_title, plot_height=600, width=1000)
    plot.grid.grid_line_alpha = 0.3
    plot.xaxis.axis_label = 'Date'
    plot.yaxis.axis_label = 'Price'
    return plot


def create_plot_oscillator(related_plot):
    plot = figure(x_axis_type="datetime", x_range=related_plot.x_range, plot_height=150, width=1000)
    plot.grid.grid_line_alpha = 0.3
    plot.xaxis.axis_label = 'Date'
    plot.yaxis.axis_label = 'Price'
    return plot


def add_line_to_plot(plot, data_title, data_date, data_close, color):
    plot.line(data_date, data_close, color=color, legend=data_title)
    return plot


def add_up_to_plot(plot, data_title, data_date, data_close, color="green"):
    plot.triangle(x=data_date, y=data_close, color=color, legend=data_title)
    return plot


def add_down_to_plot(plot, data_title, data_date, data_close, color="red"):
    plot.inverted_triangle(x=data_date, y=data_close,
                           color=color, legend=data_title)
    return plot


def show_plot(plot, oscillator=None):
    plot.legend.location = "top_left"
    output_file("stocks.html", title="stocks.py example")
    if oscillator is None:
        show(column(children=[plot]))
    else:
        show(column(children=[plot, oscillator]))


# Example of how to use this code
plot = create_plot("My chart title")
new_plot = add_line_to_plot(plot, "APPL", datetime(
    AAPL['date']), AAPL['adj_close'], '#33A02C')
new_plot = add_up_to_plot(plot, "GOOG", datetime(GOOG['date']), GOOG['adj_close'])
new_plot = add_down_to_plot(plot, "MSFT", datetime(MSFT['date']), MSFT['adj_close'])

oscillator = create_plot_oscillator(new_plot)
indicator = []
for x in IBM['adj_close']:
    indicator.append(random.random()*100)

add_line_to_plot(oscillator, "IBM", datetime(IBM['date']), indicator, 'blue')
show_plot(new_plot, oscillator)