python之移动到服务器时Python脚本失败-(Matplotlib版本)

我有这个python脚本：

#!/usr/bin/python 
import matplotlib.pyplot as plt 
import numpy as np 
import time 
#from scipy.interpolate import spline 
 
def myround(x, base=24*3600): 
    return int(base * round(float(x)/base)) 
 
def processFile(filename): 
    file = open(filename) 
    lastrawline="Hello" 
    rawline = file.readline() 
    #the array we have is going to be horizonal when we need vertical. So we have to deal with that.  
    dayold=[] 
    weekold=[] 
    threedayold=[] 
    seconds=[] 
    now=[] 
    count=0 
    for rawline in file: 
        splitline=rawline.split() 
        dayold.insert(0,splitline[4]) 
        threedayold.insert(0,splitline[5]) 
        weekold.insert(0,splitline[3]) 
        seconds.insert(0,splitline[2]) 
        now.insert(0,splitline[0]) 
            count=count+1    
    return (seconds,now,dayold,threedayold,weekold) 
 
def graph(seconds,now, dayold, threedayold,weekold): 
    dis=4*24*60*60 
    x = np.array(seconds[-dis:]) 
 
    #x = np.arange(len(seconds)) 
    ynow = np.array(now) 
    yday = np.array(dayold) 
    y3day = np.array(threedayold) 
    yweek = np.array(weekold) 
    # y2 should go on top, so shift them up 
    plt.plot(x,ynow, 'white') 
    plt.plot(x,yday) 
    plt.plot(x,y3day,'purple') 
    plt.plot(x,yweek) 
    plt.fill_between(x,ynow,yday,color='lightblue') 
    plt.fill_between(x,yday,y3day,color='green') 
    plt.fill_between(x,y3day,yweek,color='purple') 
    plt.fill_between(x,yweek,[0] *len(seconds),color='red') 
    currenttime=int(seconds[0]) 
    print currenttime 
    lastweek=myround(currenttime-7*24*3600) 
    print lastweek 
    plt.xlim(lastweek, currenttime) 
    ticks=np.arange(lastweek,currenttime,24*3600) 
    labels=[time.strftime("%a", time.gmtime(x)) for x in ticks] 
    plt.xticks(ticks,labels) 
    plt.grid() 
#   plt.show() 
    plt.savefig('stress.png') 
 
#processFile("/home/pgrads/joseph/Dropbox/emailAnalysis/resultsOldest.txt") 
a=processFile("results.txt") 
graph(a[0],a[1],a[2],a[3],a[4]) 

那产生了这张图，很棒。



至少在我的本地计算机上。

当我将其上传到服务器时，会引发以下错误。

Traceback (most recent call last): 
  File "./plotNextActionData.py", line 63, in <module> 
    graph(a[0],a[1],a[2],a[3],a[4]) 
  File "./plotNextActionData.py", line 45, in graph 
    plt.fill_between(x,ynow,yday,color='lightblue') 
  File "/home/joereddington/env/matplotlib-1.4.0-py2.6-linux-x86_64.egg/matplotlib/pyplot.py", line 2820, in fill_between 
    interpolate=interpolate, **kwargs) 
  File "/home/joereddington/env/matplotlib-1.4.0-py2.6-linux-x86_64.egg/matplotlib/axes/_axes.py", line 4316, in fill_between 
    x = ma.masked_invalid(self.convert_xunits(x)) 
  File "/home/joereddington/env/numpy-1.8.2-py2.6-linux-x86_64.egg/numpy/ma/core.py", line 2239, in masked_invalid 
    condition = ~(np.isfinite(a)) 
TypeError: Not implemented for this type 

注释掉fill_between调用会很好地生成一个图形


这不是我想要的。知道发生了什么事吗？ MatplotLib显然在工作，只是这些调用很困难...

编辑-版本。

家用机：

josephs-mbp-3$more scrap.py  
import numpy as np 
import time 
import matplotlib.pyplot  
#from scipy.interpolate import spline 
 
print np.__version__ 
print matplotlib.__version__ 
josephs-mbp-3$python scrap.py  
1.6.2 
1.1.1 
josephs-mbp-3$ 

服务器：

 blout$more scrap.py  
import numpy as np 
import time 
import matplotlib.pyplot  
#from scipy.interpolate import spline 
 
print np.__version__ 
print matplotlib.__version__ 
blout$python scrap.py  
1.8.2 
1.4.0 

请您参考如下方法:

MatplotLib库的版本可以吗？也许检查您在本地和服务器上安装了哪个版本。