Python 安装花键组件，易于安装

我有一个用Python构建的图表。图表如下所示：

def graph(seconds,now, dayold, threedayold,weekold):
    dis=4*24*60*60
    x = np.array(seconds[-dis:])

    ynow = np.array(now)
    yday = np.array(dayold)
    y3day = np.array(threedayold)
    yweek = np.array(weekold)
    plt.plot(x,ynow, 'blue')
    plt.plot(x,yday, 'green')
    plt.plot(x,y3day,'purple')
    plt.plot(x,yweek, 'red')
#   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])
    lastweek=myround(currenttime-7*24*3600)
    plt.xlim(lastweek, currenttime)
    plt.ylim(ymax=100)
    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.savefig('/home/joereddington/joereddington.com/stress/stress.png')

a=processFile("/home/joereddington/Jurgen/tracking/results.txt")
print "file processed"
graph(a[0],a[1],a[2],a[3],a[4])

…代码的图形位如下所示：

def graph(seconds,now, dayold, threedayold,weekold):
    dis=4*24*60*60
    x = np.array(seconds[-dis:])

    ynow = np.array(now)
    yday = np.array(dayold)
    y3day = np.array(threedayold)
    yweek = np.array(weekold)
    plt.plot(x,ynow, 'blue')
    plt.plot(x,yday, 'green')
    plt.plot(x,y3day,'purple')
    plt.plot(x,yweek, 'red')
#   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])
    lastweek=myround(currenttime-7*24*3600)
    plt.xlim(lastweek, currenttime)
    plt.ylim(ymax=100)
    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.savefig('/home/joereddington/joereddington.com/stress/stress.png')

a=processFile("/home/joereddington/Jurgen/tracking/results.txt")
print "file processed"
graph(a[0],a[1],a[2],a[3],a[4])

我正在尝试使用中讨论的样条线包来平滑图形，但我真的很难安装相关的包。。。我在（dreamhost）服务器上执行此操作，因此我必须构建自己的环境，但当我尝试使用spline时：

joereddington@blout:~/env$ easy_install --install-dir=~/env spline 
Searching for spline
Reading http://pypi.python.org/simple/spline/
Couldn't find index page for 'spline' (maybe misspelled?)
Scanning index of all packages (this may take a while)
Reading http://pypi.python.org/simple/
No local packages or download links found for spline
error: Could not find suitable distribution for Requirement.parse('spline')
joereddington@blout:~/env$ 

---

我做错了什么？我在哪里能找到包裹

如果您在上搜索，您会发现没有名为“spline”的包，但有些包的名称类似。也许包的详细信息可以帮助您找到您要找的包。

从链接的答案判断，它是

scipy.interpolate.spline

，因此它是

scipy

的一部分。如果您是指另一个

spline

包，请使用相关信息更新您的问题。是的-就是这个：）