ValueError异常：X和Y必须具有相同的第一维

ValueError: x and y must have same first dimension.

下面是代码：

import matplotlib.pyplot as plt 
import matplotlib.dates as mdates 
import numpy as np 

date,bid,ask = np.loadtxt('GBPUSD1d.txt', unpack=True, 
       delimiter =',',converters={0:mdates.strpdate2num('%Y%m%d%H%M%S')}) 
avgLine = ((bid+ask)/2) 
patternAr = [] 
performanceAr = [] 
patForRec = [] 
eachPattern = [] 

def percentChange(startPoint, currentPoint): 
     return ((float(currentPoint)- startPoint)/abs(startPoint))*100.00 

def patternStorage(): 
     patStartTime = time.time() 
     x = (len(avgLine))-30 
     y = 11 
     while y < x: 
       pattern = [] 
       p1 = percentChange(avgLine[y-10], avgLine[y-9]) 
       ... 
       p10 = percentChange(avgLine[y-10], avgLine[y]) 

       outcomeRange = avgLine[y+20:y+30] 
       currentPoint = avgLine[y] 
       try: 
         avgOutcome = reduce(lambda x, y: x + y, outcomeRange)/len(outcomeRange) 
       except Exception, e: 
         print str(e) 
         avgOutcome = 0 

       futureOutcome = percentChange(currentPoint, avgOutcome) 
       pattern.append(p1) 
       pattern.append(p2) 
       pattern.append(p3) 
       pattern.append(p3) 
       pattern.append(p4) 
       pattern.append(p5) 
       pattern.append(p6) 
       pattern.append(p7) 
       pattern.append(p8) 
       pattern.append(p9) 
       pattern.append(p10) 
       patternAr.append(pattern) 
       performanceAr.append(futureOutcome) 
       y += 1 

     patEndTime = time.time() 
     print len (patternAr) 
     print len (performanceAr) 
     print 'Patten storage took:', patEndTime - patStartTime, 'seconds' 

def currentPattern(): 
    cp1 = percentChange(avgLine[-11], avgLine[-10]) 
    ... 
    cp10 = percentChange(avgLine[-11], avgLine[-1]) 
    patForRec.append(cp1) 
    ... 
    patForRec.append(cp10) 
    print patForRec 

def patternRecognition(): 
    for eachPattern in patternAr: 
     sim1 = 100.00 - abs(percentChange(eachPattern[0], patForRec[0])) 
     ... 
     sim10 = 100.00 - abs(percentChange(eachPattern[9], patForRec[9])) 
     howSim =((sim1+sim2+sim3+sim4+sim5+sim6+sim7+sim8+sim9+sim10))/float(10) 

     if howSim > 70: 
      patdex = patternAr.index(eachPattern) 
      print 'predicted outcome',performanceAr[patdex] 
      xp = [1,2,3,4,5,6,7,8,9,10] 
      fig = plt.figure() 
      plt.plot(xp, patForRec) 
      plt.plot(xp, eachPattern) 
      plt.show() 

patternStorage() 
currentPattern() 
patternRecognition() 
print (len(patForRec)) 
print (len(eachPattern))

完整的错误消息

Traceback (most recent call last): 
    File "C:\Python27\ANN.py", line 165, in <module> 
    patternRecognition() 
    File "C:\Python27\ANN.py", line 131, in patternRecognition 
    plt.plot(xp, eachPattern) 
    File "C:\Python27\lib\site-packages\matplotlib\pyplot.py", line 3093, in plot 
    ret = ax.plot(*args, **kwargs) 
    File "C:\Python27\lib\site-packages\matplotlib\axes\_axes.py", line 1373, in plot 
    for line in self._get_lines(*args, **kwargs): 
    File "C:\Python27\lib\site-packages\matplotlib\axes\_base.py", line 303, in _grab_next_args 
    for seg in self._plot_args(remaining, kwargs): 
    File "C:\Python27\lib\site-packages\matplotlib\axes\_base.py", line 281, in _plot_args 
    x, y = self._xy_from_xy(x, y) 
    File "C:\Python27\lib\site-packages\matplotlib\axes\_base.py", line 223, in _xy_from_xy 
    raise ValueError("x and y must have same first dimension") 
ValueError: x and y must have same first dimension

来源

2014-09-02 user24534

因为您没有提供'GBPUSD1d.txt'文件，所以我们无法使用您的脚本。请做一个完整的最小工作示例。 – Adobe 2014-09-02 06:23:13

的问题是该eachPattern有11个元素，而所有xp有10个。原因可能是线52和d 53在你的代码的patternStorage功能，你追加p3到您的列表两次：

pattern.append(p3) 
pattern.append(p3)

，如果你摆脱这些细微的图形绘制之一。虽然它存储在一个循环多次绘制，不知道你是否想这样做...

如果你尝试在循环内做更多的事情，所以你必须编写更少的代码，这种无意中做两次事情的问题将会发生得更少。

来源

2014-09-02 08:33:31

ValueError异常：X和Y必须具有相同的第一维

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