Ruby或Python中的财务图表/图表

What are my best options for creating a financial open-high-low-close (OHLC) chart in a high level language like Ruby or Python? While there seem to be a lot of options for graphing, I haven't seen any gems or eggs with this kind of chart.

在Ruby或Python等高级语言中创建金融开放-高-低-关闭(OHLC)图表的最佳选择是什么?虽然似乎有很多图形绘制的选项，但我还没有见过任何有这种图表的宝石或蛋。

http://en.wikipedia.org/wiki/Open-high-low-close_chart (but I don't need the moving average or Bollinger bands)

http://en.wikipedia.org/wiki/Open-high-low-close_chart(但我不需要移动平均线或Bollinger带)

JFreeChart can do this in Java, but I'd like to make my codebase as small and simple as possible.

JFreeChart可以在Java中实现这一点，但是我希望代码库尽可能地小和简单。

Thanks!

谢谢!

8 个解决方案

#1

You can use matplotlib and the the optional bottom parameter of matplotlib.pyplot.bar. You can then use line plot to indicate the opening and closing prices:

您可以使用matplotlib和matplotlib.pyplot.bar的可选底部参数。然后你可以用线条图来表示开盘价和收盘价:

For example:

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()

creates a plot like this:

创造一个这样的情节:

Obviously, you'd want to package this up in a function that drew the plot using (open, close, min, max) tuples (and you probably wouldn't want to randomly assign your opening and closing prices).

显然，您希望将其打包到使用元组(open、close、min、max)绘制图的函数中(您可能不希望随机分配开盘价和收盘价)。

#2

You can use Pylab (matplotlib.finance) with Python. Here are some examples: http://matplotlib.sourceforge.net/examples/pylab_examples/plotfile_demo.html . There is some good material specifically on this problem in Beginning Python Visualization.

您可以在Python中使用Pylab (matplotli .finance)。这里有一些示例:http://matplotlib.sourceforge.net/examples/pylab_examples/plotfile_demo.html。在Python可视化的开头，有一些关于这个问题的很好的材料。

Update: I think you can use matplotlib.finance.candlestick for the Japanese candlestick effect.

更新:我想你可以用matplotli .finance。日本烛台效应的烛台。

#3

Have you considered using R and the quantmod package? It likely provides exactly what you need.

你考虑过使用R和quantmod包吗?它可能提供了您所需要的东西。

#4

Some examples about financial plots (OHLC) using matplotlib can be found here:

一些使用matplotlib的金融阴谋(OHLC)的例子可以在这里找到:

• finance demo

  融资演示

  #!/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()
  

• finance work 2
• 金融工作2

#5

Are you free to use JRuby instead of Ruby? That'd let you use JFreeChart, plus your code would still be in Ruby

您可以使用JRuby而不是Ruby吗?这样您就可以使用JFreeChart，并且您的代码仍然在Ruby中

#6

Please look at the Open Flash Chart embedding for WHIFF http://aaron.oirt.rutgers.edu/myapp/docs/W1100_1600.openFlashCharts An example of a candle chart is right at the top. This would be especially good for embedding in web pages.

请查看嵌入的打开的Flash格式http://aaron.oirt.rutgers.edu/myapp/docs/W1100_1600.openFlashCharts示例中的蜡烛图就在顶部。这对于嵌入web页面尤其有利。

#7

Open Flash Chart is nice choice if you like the look of examples. I've moved to JavaScript/Canvas library like Flot for HTML embedded charts, as it is more customizable and I get desired effect without much hacking (http://itprolife.worona.eu/2009/08/scatter-chart-library-moving-to-flot.html).

如果您喜欢示例的外观，打开Flash图表是一个不错的选择。我已经转向了JavaScript/Canvas类库，比如Flot，用于HTML嵌入式图表，因为它更易于定制，而且我得到了想要的效果，而不需要太多的破解(http://itprolife.worona.eu/2009/08/散页图表-library-moving-to-flot.html)。

#8

This is the stock chart I draw just days ago using Matplotlib, I've posted the source too, for your reference: StockChart_Matplotlib

这是我几天前用Matplotlib绘制的股票图表，我也发布了源代码，供您参考:StockChart_Matplotlib