用 Ruby 或 Python 等高级语言创建金融开高低收 (OHLC) 图表的最佳选择是什么?虽然似乎有很多绘图选项,但我还没有看到任何带有这种图表的宝石或彩蛋。
http://en.wikipedia.org/wiki/Open-high-low-close_chart(但我不需要移动平均线或布林带)
JFreeChart 可以在 Java 中做到这一点,但我想让我的代码库尽可能小和简单。
谢谢!
您可以使用matplotlib和matplotlib.pyplot.bar的可选bottom
参数。然后,您可以使用线条来指示开盘价和收盘价:plot
例如:
#!/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()
创建一个这样的情节:
显然,您希望将其打包在一个使用(open, close, min, max)
元组绘制绘图的函数中(并且您可能不想随机分配您的开盘价和收盘价)。
您可以将 Pylab ( matplotlib.finance
) 与 Python 一起使用。以下是一些示例: http: //matplotlib.sourceforge.net/examples/pylab_examples/plotfile_demo.html。在开始 Python 可视化中有一些专门针对这个问题的好材料。
更新:我认为您可以将matplotlib.finance.candlestick用于日本烛台效果。
您是否考虑过使用 R 和quantmod包?它可能正好提供您需要的东西。
可以在此处找到有关使用 matplotlib 的财务图 (OHLC) 的一些示例:
#!/usr/bin/env python
from pylab import *
from matplotlib.dates import DateFormatter, WeekdayLocator, HourLocator, \
DayLocator, MONDAY
from matplotlib.finance import quotes_historical_yahoo, candlestick,\
plot_day_summary, candlestick2
# (Year, month, day) tuples suffice as args for quotes_historical_yahoo
date1 = ( 2004, 2, 1)
date2 = ( 2004, 4, 12 )
mondays = WeekdayLocator(MONDAY) # major ticks on the mondays
alldays = DayLocator() # minor ticks on the days
weekFormatter = DateFormatter('%b %d') # Eg, Jan 12
dayFormatter = DateFormatter('%d') # Eg, 12
quotes = quotes_historical_yahoo('INTC', date1, date2)
if len(quotes) == 0:
raise SystemExit
fig = figure()
fig.subplots_adjust(bottom=0.2)
ax = fig.add_subplot(111)
ax.xaxis.set_major_locator(mondays)
ax.xaxis.set_minor_locator(alldays)
ax.xaxis.set_major_formatter(weekFormatter)
#ax.xaxis.set_minor_formatter(dayFormatter)
#plot_day_summary(ax, quotes, ticksize=3)
candlestick(ax, quotes, width=0.6)
ax.xaxis_date()
ax.autoscale_view()
setp( gca().get_xticklabels(), rotation=45, horizontalalignment='right')
show()
您是否可以随意使用 JRuby 而不是 Ruby?那会让你使用 JFreeChart,而且你的代码仍然是 Ruby
请查看 WHIFF 的 Open Flash Chart embedding http://aaron.oirt.rutgers.edu/myapp/docs/W1100_1600.openFlashCharts 顶部是蜡烛图示例。这对于嵌入网页特别有用。
如果您喜欢示例的外观,Open Flash Chart 是不错的选择。我已经转移到用于 HTML 嵌入式图表的Flot 之类的 JavaScript/Canvas 库,因为它更具可定制性,并且无需太多黑客攻击即可获得所需的效果(http://itprolife.worona.eu/2009/08/scatter-chart-library-移动到flot.html)。
这是我几天前使用 Matplotlib 绘制的股票图表,我也发布了源代码,供您参考:StockChart_Matplotlib