[reportlab-users] Formatting long tables
Robin Becker
reportlab-users@reportlab.com
Thu, 1 May 2003 09:21:05 +0100
In article <000701c30fb3$99292900$0301a8c0@auenland.org>, Henning von
Bargen <h.vonbargen@cityweb.de> writes
Hi yes, send the complete file to me robin@reportlab.com. If not a
problem send the test script along as well.
The only problem with this approach (as I understand it) is that the
table widths etc have to be decided on the first tranche of the table,
other wise you would need to process the whole thing. That's not
necessarily a bad thing though, but might lead to strange errors later
on.
>Hi,
>
>I tested formatting a table with 5000 rows like this:
> sty = [ ('GRID',(0,0),(-1,-1),1,colors.green),
> ('BOX',(0,0),(-1,-1),2,colors.red),
> ]
> data = [[str(i), Paragraph("xx "* (i%10), styleSheet["BodyText"]),
> Paragraph("blah "*(i%40), styleSheet["BodyText"])
> ] for i in xrange(5000)]
> t=Table(data, style=sty, colWidths = [50,100,200])
>
>The classical tables.py needed 13 minutes for building the PDF on my
>computer
>(Pentium 4 2.2GHz, Windows XP).
>
>An idea I mentioned earlier was to calculate only what is really needed
>instead of the whole table, which should result in complexity O(nRows)
>instead of O(nRows^2) - at least in theory.
>
>Now I gave it a try and hacked tables.py.
>The result is: The 5000 rows table PDF can be built in only 73 seconds
>on the same computer, giving the same results (a 298 pages PDF file).
>
>Unfortunately, here at home, I don't have diff, only TextPad.
>
>I could send the complete file tables.py to someone (to whom?)
>but now it's time for going to bed (in Germany).
>Maybe my changes can be included in an "official" reportlab release?
>
>TODO: Test the results with test_platypus_table.py,
>I only tested with the test() in tables.py
>
>Have fun,
>Henning von Bargen
>
>This is the output of the file comparison inside TextPad
>(not including the 5000 rows table test, see above):
>
>Vergleichen von (<)C:\Python22\Lib\reportlab\platypus\tables.py (60214 Byte)
> mit (>)C:\Python22\Lib\reportlab\platypus\hvbtables.py (61006 Byte)
>
>306,307c306,308
>< def _calc_height(self):
><
>---
>> def _calc_height(self, availHeight):
>>
>> #print "start of calc_heights, H=", self._argH, "availHeight=",
>availHeight
>321a322,323
>> cntcalc = 0
>> self._Hmax = len(H)
>325,326c328,338
>< while None in H:
>< i = H.index(None)
>---
>>
>> while None in H:
>> i = H.index(None)
>> # we can stop if we have filled up all available room
>> self._Hmax = i
>> heightUpToNow = reduce(operator.add, H[:i], 0)
>> if heightUpToNow > availHeight:
>> #print "breaking with Hmax=%d" % i
>> break
>> #print "calculating row#%d" % i
>> cntcalc += 1
>357,361c369,376
><
>< height = self._height = reduce(operator.add, H, 0)
>< #print "height, H", height, H
>< self._rowpositions = [height] # index 0 is actually topline; we
>skip when processing cells
>< for h in H:
>---
>> self._Hmax = len(H)
>>
>> #print "height calculated for %d rows" % cntcalc
>>
>> height = self._height = reduce(operator.add, H[:self._Hmax], 0)
>> #print "height, H", height, H
>> self._rowpositions = [height] # index 0 is actually topline; we
>skip when processing cells
>> for h in H[:self._Hmax]:
>366,367c381,384
>< def _calc(self, availWidth, availHeight):
>< if hasattr(self,'_width'): return
>---
>> #print "end of calc_heights, H=", H
>>
>> def _calc(self, availWidth, availHeight):
>> #if hasattr(self,'_width'): return
>385c402
>< self._calc_height()
>---
>> self._calc_height(availHeight)
>704a721
>> #print "wrap", availWidth, availHeight
>748,749c766,768
>< lim = len(self._rowHeights)
>< while n<lim:
>---
>> #print "in _splitRows, availHeight=%d, _rowHeights=%s" %
>(availHeight, self._rowHeights)
>> lim = len(self._rowHeights)
>> while n<self._Hmax:
>817d836
>< self._argH[:repeatRows]+self._argH[n:],
>825c843
>< R1 = Table(data[n:], self._colWidths, self._argH[n:],
>---
>> R1 = Table(data[n:], self._colWidths,
>1423d1441
><
>1434c1451
>< SimpleDocTemplate('tables.pdf', showBoundary=1).build(lst)
>---
>> SimpleDocTemplate('hvbtables.pdf', showBoundary=1).build(lst)
>
>
>
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--
Robin Becker