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2011-05-12T00:29:05.560
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You can use <a href="http://matplotlib.sourceforge.net/" rel="nofollow noreferrer">matplotlib</a> and the the optional <code>bottom</code> parameter of <a href="http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.bar" rel="nofollow noreferrer">matplotlib.pyplot.bar</a>. You can then use line <code>plot</code> to indicate the opening and closing prices: For example: <pre><code>#!/usr/bin/env python import numpy as np import matplotlib.pyplot as plt from matplotlib import lines import random deltas = [4, 6, 13, 18, 15, 14, 10, 13, 9, 6, 15, 9, 6, 1, 1, 2, 4, 4, 4, 4, 10, 11, 16, 17, 12, 10, 12, 15, 17, 16, 11, 10, 9, 9, 7, 10, 7, 16, 8, 12, 10, 14, 10, 15, 15, 16, 12, 8, 15, 16] bases = [46, 49, 45, 45, 44, 49, 51, 52, 56, 58, 53, 57, 62, 63, 68, 66, 65, 66, 63, 63, 62, 61, 61, 57, 61, 64, 63, 58, 56, 56, 56, 60, 59, 54, 57, 54, 54, 50, 53, 51, 48, 43, 42, 38, 37, 39, 44, 49, 47, 43] def rand_pt(bases, deltas): return [random.randint(base, base + delta) for base, delta in zip(bases, deltas)] # randomly assign opening and closing prices openings = rand_pt(bases, deltas) closings = rand_pt(bases, deltas) # First we draw the bars which show the high and low prices # bottom holds the low price while deltas holds the difference # between high and low. width = 0 ax = plt.axes() rects1 = ax.bar(np.arange(50), deltas, width, color='r', bottom=bases) # Now draw the ticks indicating the opening and closing price for opening, closing, bar in zip(openings, closings, rects1): x, w = bar.get_x(), 0.2 args = { } ax.plot((x - w, x), (opening, opening), **args) ax.plot((x, x + w), (closing, closing), **args) plt.show() </code></pre> creates a plot like this: <img src="https://i.stack.imgur.com/4dWF7.png" alt="enter image description here"> Obviously, you'd want to package this up in a function that drew the plot using <code>(open, close, min, max)</code> tuples (and you probably wouldn't want to randomly assign your opening and closing prices).
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