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|
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Public Member Functions | |
| def | __init__ |
| def | drawHTTPstring |
| def | drawInteractive |
| def | drawPNG |
| def | plotInst_RunLS |
| def | plotPeakPerday_Time |
| def | plotPerdayX_Time |
| def | plotSumX_Fill |
| def | plotSumX_Run |
| def | plotSumX_Time |
Public Attributes | |
| colormap | |
Private Attributes | |
| __canvas | |
| __fig | |
Definition at line 45 of file matplotRender.py.
| def matplotRender::matplotRender::__init__ | ( | self, | |
| fig | |||
| ) |
Definition at line 46 of file matplotRender.py.
| def matplotRender::matplotRender::drawHTTPstring | ( | self | ) |
Definition at line 542 of file matplotRender.py.
| def matplotRender::matplotRender::drawInteractive | ( | self | ) |
Definition at line 553 of file matplotRender.py.
00554 : 00555 if batchonly: 00556 print 'interactive mode is not available for your setup, exit' 00557 sys.exit() 00558 self.__canvas=CanvasBackend(self.__fig,master=root) 00559 self.__canvas.show() 00560 self.__canvas.get_tk_widget().pack(side=Tk.TOP,fill=Tk.BOTH,expand=1) 00561 toolbar=NavigationToolbar2TkAgg(self.__canvas,root) 00562 toolbar.update() 00563 self.__canvas._tkcanvas.pack(side=Tk.TOP,fill=Tk.BOTH,expand=1) 00564 button = Tk.Button(master=root,text='Quit',command=sys.exit) 00565 button.pack(side=Tk.BOTTOM) Tk.mainloop()
| def matplotRender::matplotRender::drawPNG | ( | self, | |
| filename | |||
| ) |
Definition at line 549 of file matplotRender.py.
| def matplotRender::matplotRender::plotInst_RunLS | ( | self, | |
| rawxdata, | |||
| rawydata, | |||
nticks = 6 |
|||
| ) |
Input: rawxdata [run,fill,norbit,starttime,stoptime,totalls,ncmsls]
rawydata {label:[instlumi]}
Definition at line 451 of file matplotRender.py.
00452 : 00453 ''' 00454 Input: rawxdata [run,fill,norbit,starttime,stoptime,totalls,ncmsls] 00455 rawydata {label:[instlumi]} 00456 ''' 00457 runnum=rawxdata[0] 00458 fill=rawxdata[1] 00459 norbit=rawxdata[2] 00460 starttime=rawxdata[3] 00461 stoptime=rawxdata[4] 00462 totalls=rawxdata[-2] 00463 ncmsls=rawxdata[-1] 00464 peakinst=max(rawydata['Delivered']) 00465 lslength=float(norbit)*3564*25.0e-9 00466 totaldelivered=sum(rawydata['Delivered'])*lslength 00467 totalrecorded=sum(rawydata['Recorded'])*lslength 00468 xpoints=range(1,totalls+1) 00469 #print len(xpoints) 00470 ypoints={} 00471 ymax={} 00472 for ylabel,yvalue in rawydata.items(): 00473 ypoints[ylabel]=yvalue 00474 ymax[ylabel]=max(yvalue) 00475 left=0.15 00476 width=0.7 00477 bottom=0.1 00478 height=0.65 00479 bottom_h=bottom+height 00480 rect_scatter=[left,bottom,width,height] 00481 rect_table=[left,bottom_h,width,0.25] 00482 00483 nullfmt=matplotlib.ticker.NullFormatter() 00484 nullloc=matplotlib.ticker.NullLocator() 00485 axtab=self.__fig.add_axes(rect_table,frameon=False) 00486 axtab.set_axis_off() 00487 axtab.xaxis.set_major_formatter(nullfmt) 00488 axtab.yaxis.set_major_formatter(nullfmt) 00489 axtab.xaxis.set_major_locator(nullloc) 00490 axtab.yaxis.set_major_locator(nullloc) 00491 00492 ax=self.__fig.add_axes(rect_scatter) 00493 00494 majorLoc=matplotlib.ticker.LinearLocator(numticks=nticks) 00495 minorLoc=matplotlib.ticker.LinearLocator(numticks=nticks*4) 00496 ax.set_xlabel(r'LS',position=(0.96,0)) 00497 ax.set_ylabel(r'L $\mu$b$^{-1}$s$^{-1}$',position=(0,0.9)) 00498 ax.xaxis.set_major_locator(majorLoc) 00499 ax.xaxis.set_minor_locator(minorLoc) 00500 ax.set_xbound(lower=xpoints[0],upper=xpoints[-1]) 00501 xticklabels=ax.get_xticklabels() 00502 for tx in xticklabels: 00503 tx.set_horizontalalignment('right') 00504 ax.grid(True) 00505 keylist=ypoints.keys() 00506 keylist.sort() 00507 legendlist=[] 00508 00509 for ylabel in keylist: 00510 cl='k' 00511 if self.colormap.has_key(ylabel): 00512 cl=self.colormap[ylabel] 00513 ax.plot(xpoints,ypoints[ylabel],'.',label=ylabel,color=cl) 00514 legendlist.append(ylabel) 00515 #ax.axhline(0,color='green',linewidth=0.2) 00516 ax.axvline(xpoints[ncmsls-1],color='green',linewidth=0.2) 00517 00518 denomitor=1.0 00519 unitstring='/$\mu$b' 00520 if totaldelivered>=1.0e3 and totaldelivered<1.0e06: 00521 denomitor=1.0e3 00522 unitstring='/nb' 00523 elif totaldelivered>=1.0e6 and totaldelivered<1.0e9: 00524 denomitor=1.0e6 00525 unitstring='/pb' 00526 elif totaldelivered>=1.0e9 and totaldelivered<1.0e12: 00527 denomitor=1.0e9 00528 unitstring='/fb' 00529 elif totaldelivered>=1.0e12 and totaldelivered<1.0e15: 00530 denomitor=1.0e12 00531 unitstring='/ab' 00532 colLabels=('run','fill','max inst(/$\mu$b/s)','delivered('+unitstring+')','recorded('+unitstring+')') 00533 cellText=[[str(runnum),str(fill),'%.3f'%(peakinst),'%.3f'%(totaldelivered/denomitor),'%.3f'%(totalrecorded/denomitor)]] 00534 00535 sumtable=axtab.table(cellText=cellText,colLabels=colLabels,colWidths=[0.12,0.1,0.27,0.27,0.27],cellLoc='center',loc='center') 00536 trans=matplotlib.transforms.BlendedGenericTransform(ax.transData,ax.transAxes) 00537 axtab.add_table(sumtable) 00538 00539 ax.text(xpoints[0],1.02,starttime[0:17],transform=trans,horizontalalignment='left',size='x-small',color='green',bbox=dict(facecolor='white')) 00540 ax.text(xpoints[ncmsls-1],1.02,stoptime[0:17],transform=trans,horizontalalignment='left',size='x-small',color='green',bbox=dict(facecolor='white')) 00541 ax.legend(tuple(legendlist),loc='upper right',numpoints=1)
| def matplotRender::matplotRender::plotPeakPerday_Time | ( | self, | |
| daydict, | |||
| minTime, | |||
| maxTime, | |||
nticks = 6, |
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annotateBoundaryRunnum = False, |
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yscale = 'linear' |
|||
| ) |
Input: daydict={}#{day:[run,lsnum,instlumi]}
Definition at line 361 of file matplotRender.py.
00362 : 00363 ''' 00364 Input: daydict={}#{day:[run,lsnum,instlumi]} 00365 ''' 00366 xpoints=[] 00367 ypoints=[] 00368 legendlist=[] 00369 days=daydict.keys() 00370 days.sort() 00371 beginfo=str(daydict[days[0]][0])+':'+str(daydict[days[0]][1]) 00372 endinfo=str(daydict[days[-1]][0])+':'+str(daydict[days[-1]][1]) 00373 maxinfo='' 00374 ymax=0.0 00375 xmax=0 00376 minday=days[0] 00377 maxday=days[-1] 00378 minvar=0.1 00379 for day in range(minday,maxday+1): 00380 xpoints.append(day) 00381 if not daydict.has_key(day): 00382 ypoints.append(0.0) 00383 continue 00384 daymaxdata=daydict[day] 00385 ypoints.append(daymaxdata[2]) 00386 if daydict[day][2]>ymax: 00387 ymax=daydict[day][2] 00388 xmax=day 00389 runmax=daydict[day][0] 00390 lsmax=daydict[day][1] 00391 maxinfo=str(runmax)+':'+str(lsmax) 00392 denomitor=1.0 00393 unitstring='$\mu$b$^{-1}$s$^{-1}$' 00394 if ymax>=1.0e3 and ymax<1.0e06: 00395 denomitor=1.0e3 00396 unitstring='nb$^{-1}$s$^{-1}$' 00397 elif ymax>=1.0e6 and ymax<1.0e9: 00398 denomitor=1.0e6 00399 unitstring='pb$^{-1}$s$^{-1}$' 00400 elif ymax>=1.0e9 and ymax<1.0e12: 00401 denomitor=1.0e9 00402 unitstring='fb$^{-1}$s$^{-1}$' 00403 elif ymax>=1.0e12 and ymax<1.0e15: 00404 denomitor=1.0e12 00405 unitstring='ab$^{-1}$s$^{-1}$' 00406 00407 ax=self.__fig.add_subplot(111) 00408 if yscale=='linear': 00409 ax.set_yscale('linear') 00410 elif yscale=='log': 00411 ax.set_yscale('log') 00412 for i,v in enumerate(ypoints): 00413 if v<minvar: 00414 ypoints[i]=minvar 00415 else: 00416 raise 'unsupported yscale ',yscale 00417 dateFmt=matplotlib.dates.DateFormatter('%d/%m') 00418 majorLoc=matplotlib.ticker.LinearLocator(numticks=nticks) 00419 minorLoc=matplotlib.ticker.LinearLocator(numticks=nticks*4) 00420 ax.xaxis.set_major_formatter(dateFmt) 00421 ax.set_xlabel(r'Date',position=(0.84,0)) 00422 ax.set_ylabel(r'L '+unitstring,position=(0,0.9)) 00423 ax.xaxis.set_major_locator(majorLoc) 00424 ax.xaxis.set_minor_locator(minorLoc) 00425 xticklabels=ax.get_xticklabels() 00426 for tx in xticklabels: 00427 tx.set_horizontalalignment('right') 00428 ax.grid(True) 00429 cl=self.colormap['Max Inst'] 00430 #print 'xpoints ',xpoints 00431 #print 'ypoints ',ypoints 00432 #print 'maxinfo ',maxinfo 00433 #print 'beginfo ',beginfo 00434 #print 'endinfo ',endinfo 00435 ax.plot(xpoints,[y/denomitor for y in ypoints],label='Max Inst',color=cl,drawstyle='steps') 00436 legendlist.append('Max Inst %.2f'%(ymax/denomitor)+' '+unitstring) 00437 ax.legend(tuple(legendlist),loc='upper left') 00438 ax.set_xbound(lower=matplotlib.dates.date2num(minTime),upper=matplotlib.dates.date2num(maxTime)) 00439 if annotateBoundaryRunnum: 00440 #annotations 00441 trans=matplotlib.transforms.BlendedGenericTransform(ax.transData,ax.transAxes) 00442 ax.text(xpoints[0],1.025,beginfo,transform=trans,horizontalalignment='left',size='x-small',color='green',bbox=dict(facecolor='white')) 00443 ax.text(xpoints[-1],1.025,endinfo,transform=trans,horizontalalignment='left',size='x-small',color='green',bbox=dict(facecolor='white')) 00444 ax.annotate(maxinfo,xy=(xmax,ymax),xycoords='data',xytext=(0,13),textcoords='offset points',arrowprops=dict(facecolor='green',shrink=0.05),size='x-small',horizontalalignment='center',color='green',bbox=dict(facecolor='white')) 00445 yearStr=minTime.strftime('%Y') 00446 firstimeStr=minTime.strftime('%b %d %H:%M') 00447 lasttimeStr=maxTime.strftime('%b %d %H:%M') 00448 ax.set_title('Peak Luminosity/Day '+yearStr+' ('+firstimeStr+' UTC - '+lasttimeStr+' UTC)',size='small',family='fantasy') 00449 self.__fig.autofmt_xdate(bottom=0.18,rotation=0) 00450 self.__fig.subplots_adjust(bottom=0.1,left=0.1)
| def matplotRender::matplotRender::plotPerdayX_Time | ( | self, | |
| days, | |||
| databyday, | |||
| minTime, | |||
| maxTime, | |||
boundaryInfo = [], |
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nticks = 6, |
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annotateBoundaryRunnum = False, |
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yscale = 'linear' |
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| ) |
input
databyday {'Delivered':[lumiperday]}
boundaryInfo [[begintime,begininfo],[endtime,endinfo]]
Definition at line 283 of file matplotRender.py.
00284 : 00285 '''input 00286 databyday {'Delivered':[lumiperday]} 00287 boundaryInfo [[begintime,begininfo],[endtime,endinfo]] 00288 ''' 00289 ax=self.__fig.add_subplot(111) 00290 t=max(databyday['Delivered']) 00291 minvar=min([x for x in databyday['Recorded'] if x>0]) #used only for log scale 00292 maxvalues={} 00293 keylist=databyday.keys() 00294 keylist.sort() 00295 for k in keylist: 00296 maxvalues[k]=max(databyday[k]) 00297 00298 if yscale=='linear': 00299 ax.set_yscale('linear') 00300 elif yscale=='log': 00301 ax.set_yscale('log') 00302 for k in keylist: 00303 for i,v in enumerate(databyday[k]): 00304 if v<minvar: 00305 databyday[k][i]=minvar 00306 else: 00307 raise 'unsupported yscale ',yscale 00308 dateFmt=matplotlib.dates.DateFormatter('%d/%m') 00309 majorLoc=matplotlib.ticker.LinearLocator(numticks=nticks) 00310 minorLoc=matplotlib.ticker.LinearLocator(numticks=nticks*4) 00311 ax.xaxis.set_major_formatter(dateFmt) 00312 ax.set_xlabel(r'Date',position=(0.84,0)) 00313 ax.xaxis.set_major_locator(majorLoc) 00314 ax.xaxis.set_minor_locator(minorLoc) 00315 xticklabels=ax.get_xticklabels() 00316 for tx in xticklabels: 00317 tx.set_horizontalalignment('right') 00318 ax.grid(True) 00319 legendlist=[] 00320 00321 denomitor=1.0 00322 unitstring='$\mu$b$^{-1}$' 00323 if t>=1.0e3 and t<1.0e06: 00324 denomitor=1.0e3 00325 unitstring='nb$^{-1}$' 00326 elif t>=1.0e6 and t<1.0e9: 00327 denomitor=1.0e6 00328 unitstring='pb$^{-1}$' 00329 elif t>=1.0e9 and t<1.0e12: 00330 denomitor=1.0e9 00331 unitstring='fb$^{-1}$' 00332 elif t>=1.0e12 and t<1.0e15: 00333 denomitor=1.0e12 00334 unitstring='ab$^{-1}$' 00335 00336 ax.set_ylabel(r'L '+unitstring,position=(0,0.9)) 00337 for ylabel in keylist: 00338 cl='k' 00339 if self.colormap.has_key(ylabel): 00340 cl=self.colormap[ylabel] 00341 ax.plot(days,[y/denomitor for y in databyday[ylabel]],label=ylabel,color=cl,drawstyle='steps') 00342 legendlist.append(ylabel+' Max '+'%.2f'%(maxvalues[ylabel]/denomitor)+' '+unitstring) 00343 ax.legend(tuple(legendlist),loc='upper left') 00344 ax.set_xbound(lower=matplotlib.dates.date2num(minTime),upper=matplotlib.dates.date2num(maxTime)) 00345 if annotateBoundaryRunnum: 00346 if len(boundaryInfo)!=0: 00347 begtime=boundaryInfo[0][0] 00348 beginfo=boundaryInfo[0][1] 00349 endtime=boundaryInfo[1][0] 00350 endinfo=boundaryInfo[1][1] 00351 #annotations 00352 trans=matplotlib.transforms.BlendedGenericTransform(ax.transData,ax.transAxes) 00353 ax.text(matplotlib.dates.date2num(begtime),1.025,beginfo,transform=trans,horizontalalignment='left',size='x-small',color='green',bbox=dict(facecolor='white')) 00354 ax.text(matplotlib.dates.date2num(endtime),1.025,endinfo,transform=trans,horizontalalignment='left',size='x-small',color='green',bbox=dict(facecolor='white')) 00355 yearStr=minTime.strftime('%Y') 00356 firstimeStr=minTime.strftime('%b %d %H:%M') 00357 lasttimeStr=maxTime.strftime('%b %d %H:%M') 00358 ax.set_title('Integrated Luminosity/Day '+yearStr+' ('+firstimeStr+' UTC - '+lasttimeStr+' UTC)',size='small',family='fantasy') 00359 self.__fig.autofmt_xdate(bottom=0.18,rotation=0) 00360 self.__fig.subplots_adjust(bottom=0.18,left=0.1)
| def matplotRender::matplotRender::plotSumX_Fill | ( | self, | |
| rawxdata, | |||
| rawydata, | |||
| rawfillDict, | |||
nticks = 6, |
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yscale = 'linear' |
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| ) |
Definition at line 127 of file matplotRender.py.
00128 : 00129 #print 'plotSumX_Fill rawxdata ',rawxdata 00130 ytotal={} 00131 ypoints={} 00132 xpoints=rawfillDict.keys() 00133 if len(xpoints)==0: 00134 print '[WARNING]: no data, do nothing' 00135 return 00136 xpoints.sort() 00137 beginfo='' 00138 endinfo='' 00139 t=sum(rawydata['Delivered']) 00140 denomitor=1.0 00141 unitstring='$\mu$b$^{-1}$' 00142 if t>=1.0e3 and t<1.0e06: 00143 denomitor=1.0e3 00144 unitstring='nb$^{-1}$' 00145 elif t>=1.0e6 and t<1.0e9: 00146 denomitor=1.0e6 00147 unitstring='pb$^{-1}$' 00148 elif t>=1.0e9 and t<1.0e12: 00149 denomitor=1.0e9 00150 unitstring='fb$^{-1}$' 00151 elif t>=1.0e12 and t<1.0e15: 00152 denomitor=1.0e12 00153 unitstring='ab$^{-1}$' 00154 00155 for ylabel,yvalue in rawydata.items(): 00156 ypoints[ylabel]=[] 00157 ytotal[ylabel]=sum(rawydata[ylabel])/denomitor 00158 for idx,fill in enumerate(xpoints): 00159 runlist=rawfillDict[fill] 00160 if idx==0: 00161 beginfo=str(fill)+':'+str(runlist[0]) 00162 if idx==len(xpoints)-1: 00163 endinfo=str(fill)+':'+str(runlist[-1]) 00164 xidx=rawxdata.index(max(runlist)) 00165 ypoints[ylabel].append(sum(yvalue[0:xidx])/denomitor) 00166 ax=self.__fig.add_subplot(111) 00167 ax.set_xlabel(r'LHC Fill Number',position=(0.84,0)) 00168 ax.set_ylabel(r'L '+unitstring,position=(0,0.9)) 00169 ax.set_xbound(lower=xpoints[0],upper=xpoints[-1]) 00170 if yscale=='linear': 00171 ax.set_yscale('linear') 00172 elif yscale=='log': 00173 ax.set_yscale('log') 00174 else: 00175 raise 'unsupported yscale ',yscale 00176 xticklabels=ax.get_xticklabels() 00177 majorLocator=matplotlib.ticker.LinearLocator( nticks ) 00178 majorFormatter=matplotlib.ticker.FormatStrFormatter('%d') 00179 #minorLocator=matplotlib.ticker.MultipleLocator(sampleinterval) 00180 ax.xaxis.set_major_locator(majorLocator) 00181 ax.xaxis.set_major_formatter(majorFormatter) 00182 #ax.xaxis.set_minor_locator(minorLocator) 00183 ax.grid(True) 00184 keylist=ypoints.keys() 00185 keylist.sort() 00186 legendlist=[] 00187 for ylabel in keylist: 00188 cl='k' 00189 if self.colormap.has_key(ylabel): 00190 cl=self.colormap[ylabel] 00191 ax.plot(xpoints,ypoints[ylabel],label=ylabel,color=cl,drawstyle='steps') 00192 legendlist.append(ylabel+' '+'%.2f'%(ytotal[ylabel])+' '+unitstring) 00193 #font=FontProperties(size='medium',weight='demibold') 00194 #annotations 00195 trans=matplotlib.transforms.BlendedGenericTransform(ax.transData,ax.transAxes) 00196 ax.text(xpoints[0],1.025,beginfo,transform=trans,horizontalalignment='left',size='x-small',color='green',bbox=dict(facecolor='white')) 00197 ax.text(xpoints[-1],1.025,endinfo,transform=trans,horizontalalignment='left',size='x-small',color='green',bbox=dict(facecolor='white')) 00198 ax.legend(tuple(legendlist),loc='upper left') 00199 self.__fig.subplots_adjust(bottom=0.1,left=0.1)
| def matplotRender::matplotRender::plotSumX_Run | ( | self, | |
| rawxdata, | |||
| rawydata, | |||
nticks = 6, |
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yscale = 'linear' |
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| ) |
Definition at line 55 of file matplotRender.py.
00056 : 00057 xpoints=[] 00058 ypoints={} 00059 ytotal={} 00060 xidx=[] 00061 #print 'max rawxdata ',max(rawxdata) 00062 #print 'min rawxdata ',min(rawxdata) 00063 for x in CommonUtil.inclusiveRange(min(rawxdata),max(rawxdata),1): 00064 #print 'x : ',x 00065 xpoints.append(x) 00066 xidx.append(rawxdata.index(x)) #get the index of the sample points 00067 #print 'xidx : ',rawxdata.index(x) 00068 if len(xpoints)==0: 00069 print '[WARNING]: no data, do nothing' 00070 return 00071 t=sum(rawydata['Delivered']) 00072 denomitor=1.0 00073 unitstring='$\mu$b$^{-1}$' 00074 if t>=1.0e3 and t<1.0e06: 00075 denomitor=1.0e3 00076 unitstring='nb$^{-1}$' 00077 elif t>=1.0e6 and t<1.0e9: 00078 denomitor=1.0e6 00079 unitstring='pb$^{-1}$' 00080 elif t>=1.0e9 and t<1.0e12: 00081 denomitor=1.0e9 00082 unitstring='fb$^{-1}$' 00083 elif t>=1.0e12 and t<1.0e15: 00084 denomitor=1.0e12 00085 unitstring='ab$^{-1}$' 00086 for ylabel,yvalues in rawydata.items(): 00087 ypoints[ylabel]=[] 00088 for i in xidx: 00089 ypoints[ylabel].append(sum(yvalues[0:i])/denomitor) 00090 ytotal[ylabel]=sum(yvalues)/denomitor 00091 ax=self.__fig.add_subplot(111) 00092 if yscale=='linear': 00093 ax.set_yscale('linear') 00094 elif yscale=='log': 00095 ax.set_yscale('log') 00096 else: 00097 raise 'unsupported yscale ',yscale 00098 ax.set_xlabel(r'Run',position=(0.95,0)) 00099 ax.set_ylabel(r'L '+unitstring,position=(0,0.9)) 00100 xticklabels=ax.get_xticklabels() 00101 for tx in xticklabels: 00102 tx.set_rotation(30) 00103 majorLocator=matplotlib.ticker.LinearLocator( nticks ) 00104 majorFormatter=matplotlib.ticker.FormatStrFormatter('%d') 00105 minorLocator=matplotlib.ticker.LinearLocator(numticks=4*nticks) 00106 ax.xaxis.set_major_locator(majorLocator) 00107 ax.xaxis.set_major_formatter(majorFormatter) 00108 ax.xaxis.set_minor_locator(minorLocator) 00109 ax.set_xbound(lower=xpoints[0],upper=xpoints[-1]) 00110 ax.grid(True) 00111 keylist=ypoints.keys() 00112 keylist.sort() 00113 legendlist=[] 00114 for ylabel in keylist: 00115 cl='k' 00116 if self.colormap.has_key(ylabel): 00117 cl=self.colormap[ylabel] 00118 ax.plot(xpoints,ypoints[ylabel],label=ylabel,color=cl,drawstyle='steps') 00119 legendlist.append(ylabel+' '+'%.2f'%(ytotal[ylabel])+' '+unitstring) 00120 #font=FontProperties(size='medium',weight='demibold') 00121 #annotations 00122 trans=matplotlib.transforms.BlendedGenericTransform(ax.transData,ax.transAxes) 00123 ax.text(xpoints[0],1.025,str(xpoints[0]),transform=trans,horizontalalignment='left',size='x-small',color='green',bbox=dict(facecolor='white')) 00124 ax.text(xpoints[-1],1.025,str(xpoints[-1]),transform=trans,horizontalalignment='left',size='x-small',color='green',bbox=dict(facecolor='white')) 00125 ax.legend(tuple(legendlist),loc='upper left') 00126 self.__fig.subplots_adjust(bottom=0.18,left=0.1)
| def matplotRender::matplotRender::plotSumX_Time | ( | self, | |
| rawxdata, | |||
| rawydata, | |||
| minTime, | |||
| maxTime, | |||
hltpath = '', |
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nticks = 6, |
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annotateBoundaryRunnum = False, |
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yscale = 'linear' |
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| ) |
input:
rawxdata runDict{runnumber:[delivered,recorded,recorded_hltpath]}
rawydata {label:[rundata]}
Definition at line 200 of file matplotRender.py.
00201 : 00202 ''' 00203 input: 00204 rawxdata runDict{runnumber:[delivered,recorded,recorded_hltpath]} 00205 rawydata {label:[rundata]} 00206 ''' 00207 xpoints=[] 00208 ypoints={} 00209 ytotal={} 00210 xidx=[] 00211 runs=rawxdata.keys() 00212 runs.sort() 00213 for idx,run in enumerate(runs): 00214 xpoints.append(matplotlib.dates.date2num(rawxdata[run][0])) 00215 xidx.append(idx) 00216 if len(xpoints)==0: 00217 print '[WARNING]: no data, do nothing' 00218 return 00219 t=sum(rawydata['Delivered']) 00220 denomitor=1.0 00221 unitstring='$\mu$b$^{-1}$' 00222 if t>=1.0e3 and t<1.0e06: 00223 denomitor=1.0e3 00224 unitstring='nb$^{-1}$' 00225 elif t>=1.0e6 and t<1.0e9: 00226 denomitor=1.0e6 00227 unitstring='pb$^{-1}$' 00228 elif t>=1.0e9 and t<1.0e12: 00229 denomitor=1.0e9 00230 unitstring='fb$^{-1}$' 00231 elif t>=1.0e12 and t<1.0e15: 00232 denomitor=1.0e12 00233 unitstring='ab$^{-1}$' 00234 00235 for ylabel,yvalue in rawydata.items(): 00236 ypoints[ylabel]=[] 00237 for i in xidx: 00238 ypoints[ylabel].append(sum(yvalue[0:i])/denomitor) 00239 ytotal[ylabel]=sum(yvalue)/denomitor 00240 ax=self.__fig.add_subplot(111) 00241 if yscale=='linear': 00242 ax.set_yscale('linear') 00243 elif yscale=='log': 00244 ax.set_yscale('log') 00245 else: 00246 raise 'unsupported yscale ',yscale 00247 dateFmt=matplotlib.dates.DateFormatter('%d/%m') 00248 majorLoc=matplotlib.ticker.LinearLocator(numticks=nticks) 00249 ax.xaxis.set_major_locator(majorLoc) 00250 minorLoc=matplotlib.ticker.LinearLocator(numticks=nticks*4) 00251 ax.xaxis.set_major_formatter(dateFmt) 00252 ax.set_xlabel(r'Date',position=(0.84,0)) 00253 ax.set_ylabel(r'L '+unitstring,position=(0,0.9)) 00254 ax.xaxis.set_minor_locator(minorLoc) 00255 ax.set_xbound(lower=xpoints[0],upper=xpoints[-1]) 00256 xticklabels=ax.get_xticklabels() 00257 for tx in xticklabels: 00258 tx.set_horizontalalignment('left') 00259 ax.grid(True) 00260 keylist=ypoints.keys() 00261 keylist.sort() 00262 legendlist=[] 00263 for ylabel in keylist: 00264 cl='k' 00265 if self.colormap.has_key(ylabel): 00266 cl=self.colormap[ylabel] 00267 ax.plot(xpoints,ypoints[ylabel],label=ylabel,color=cl,drawstyle='steps') 00268 legendlist.append(ylabel+' '+'%.2f'%(ytotal[ylabel])+' '+unitstring) 00269 #annotations 00270 trans=matplotlib.transforms.BlendedGenericTransform(ax.transData,ax.transAxes) 00271 #print 'run boundary ',runs[0],runs[-1] 00272 #print 'xpoints boundary ',xpoints[0],xpoints[-1] 00273 if annotateBoundaryRunnum: 00274 ax.text(xpoints[0],1.025,str(runs[0]),transform=trans,horizontalalignment='left',size='x-small',color='green',bbox=dict(facecolor='white')) 00275 ax.text(xpoints[-1],1.025,str(runs[-1]),transform=trans,horizontalalignment='left',size='x-small',color='green',bbox=dict(facecolor='white')) 00276 yearStr=minTime.strftime('%Y') 00277 firstimeStr=minTime.strftime('%b %d %H:%M') 00278 lasttimeStr=maxTime.strftime('%b %d %H:%M') 00279 ax.set_title('Total Integrated Luminosity '+yearStr+' ('+firstimeStr+' UTC - '+lasttimeStr+' UTC)',size='small',family='fantasy') 00280 ax.legend(tuple(legendlist),loc='upper left') 00281 self.__fig.autofmt_xdate(bottom=0.18,rotation=0) 00282 self.__fig.subplots_adjust(bottom=0.1,left=0.1)
matplotRender::matplotRender::__canvas [private] |
Definition at line 46 of file matplotRender.py.
matplotRender::matplotRender::__fig [private] |
Definition at line 46 of file matplotRender.py.
Definition at line 46 of file matplotRender.py.
1.7.3