I saved some plots from matplotlib into a pdf format because it seems to offer a better quality. How do I include the PDF image into a PDF document using ReportLab? The conv
Use from reportlab.graphics import renderPDF
You can use the wonderful pdfrw package together with reportlab and use it to pass file-like objects of matplotlib figures directly into a flowable:
This was answered before, but I want to give a minimal example here, please also look here: https://stackoverflow.com/a/13870512/4497962
from io import BytesIO
import matplotlib.pyplot as plt
from pdfrw import PdfReader, PdfDict
from pdfrw.buildxobj import pagexobj
from pdfrw.toreportlab import makerl
from reportlab.platypus import Flowable
from reportlab.lib.enums import TA_JUSTIFY,TA_LEFT,TA_CENTER,TA_RIGHT
class PdfImage(Flowable):
"""
PdfImage wraps the first page from a PDF file as a Flowable
which can be included into a ReportLab Platypus document.
Based on the vectorpdf extension in rst2pdf (http://code.google.com/p/rst2pdf/)
This can be used from the place where you want to return your matplotlib image
as a Flowable:
img = BytesIO()
fig, ax = plt.subplots(figsize=(canvaswidth,canvaswidth))
ax.plot([1,2,3],[6,5,4],antialiased=True,linewidth=2,color='red',label='a curve')
fig.savefig(img,format='PDF')
return(PdfImage(img))
"""
def __init__(self, filename_or_object, width=None, height=None, kind='direct'):
# If using StringIO buffer, set pointer to begining
if hasattr(filename_or_object, 'read'):
filename_or_object.seek(0)
#print("read")
self.page = PdfReader(filename_or_object, decompress=False).pages[0]
self.xobj = pagexobj(self.page)
self.imageWidth = width
self.imageHeight = height
x1, y1, x2, y2 = self.xobj.BBox
self._w, self._h = x2 - x1, y2 - y1
if not self.imageWidth:
self.imageWidth = self._w
if not self.imageHeight:
self.imageHeight = self._h
self.__ratio = float(self.imageWidth)/self.imageHeight
if kind in ['direct','absolute'] or width==None or height==None:
self.drawWidth = width or self.imageWidth
self.drawHeight = height or self.imageHeight
elif kind in ['bound','proportional']:
factor = min(float(width)/self._w,float(height)/self._h)
self.drawWidth = self._w*factor
self.drawHeight = self._h*factor
def wrap(self, availableWidth, availableHeight):
"""
returns draw- width and height
convenience function to adapt your image
to the available Space that is available
"""
return self.drawWidth, self.drawHeight
def drawOn(self, canv, x, y, _sW=0):
"""
translates Bounding Box and scales the given canvas
"""
if _sW > 0 and hasattr(self, 'hAlign'):
a = self.hAlign
if a in ('CENTER', 'CENTRE', TA_CENTER):
x += 0.5*_sW
elif a in ('RIGHT', TA_RIGHT):
x += _sW
elif a not in ('LEFT', TA_LEFT):
raise ValueError("Bad hAlign value " + str(a))
#xobj_name = makerl(canv._doc, self.xobj)
xobj_name = makerl(canv, self.xobj)
xscale = self.drawWidth/self._w
yscale = self.drawHeight/self._h
x -= self.xobj.BBox[0] * xscale
y -= self.xobj.BBox[1] * yscale
canv.saveState()
canv.translate(x, y)
canv.scale(xscale, yscale)
canv.doForm(xobj_name)
canv.restoreState()
You can use svg export from matplotlib and use svglib
python library to include vector graphics in reportlab generated PDF files. svglib
takes a svg file and makes a drawing object that can be directly used in reportlab.
See also this question for more details: Generating PDFs from SVG input
According to ReportLab's FAQ this is only possible with ReportLab PLUS:
Can I use vector graphics in my PDFs?
No, the Open Source package doesn't do this. PageCatcher (see the previous answer) allows you to easily incorporate any vector image by saving it as a PDF and then using it exactly as you would an image file, and Report Markup Language accepts PDF files along with JPG, GIF and PNG.
Update: I haven't looked into this for a while but on the page of pdfrw it says:
pdfrw can read and write PDF files, and can also be used to read in PDFs which can then be used inside reportlab.