The following code allows me to view a png image in an iPython notebook. Is there a way to view pdf image? I don't need to use IPython.display necessarily. I am looking for a way to print a pdf image in a file to the iPython notebook output cell.
## This is for an `png` image
from IPython.display import Image
fig = Image(filename=('./temp/my_plot.png'))
fig
Thank you.
The problem you (and others) face is that PDFs cannot be displayed directly in the browser.
The only possible way to get something similar is to use an image-converter to create a PNG or JPG out of the PDF and display this one.
This could be done via imagemagick and a custom display function.
A simple solution is to use wand (http://docs.wand-py.org) a python-imagemagick binding. I tried with Ubuntu 13.04:
In text form:
from wand.image import Image as WImage
img = WImage(filename='hat.pdf')
img
For a multi-page pdf, you can get e.g. the second page via:
img = WImage(filename='hat.pdf[1]')
As recent browsers support to display pdfs with their embedded pdf viewer a possible alternative solution based on an iframe can be implemented as
class PDF(object):
def __init__(self, pdf, size=(200,200)):
self.pdf = pdf
self.size = size
def _repr_html_(self):
return '<iframe src={0} width={1[0]} height={1[1]}></iframe>'.format(self.pdf, self.size)
def _repr_latex_(self):
return r'\includegraphics[width=1.0\textwidth]{{{0}}}'.format(self.pdf)
This class implements html and latex representations, hence the pdf will also survive a nbconversion to latex. It can be used like
PDF('hat.pdf',size=(300,250))
With Firefox 33 this results in
hat.pdf[1] to access the second page of hat.pdf. It's exactly the same as with standard IM see e.g. stackoverflow.com/q/4809314/2870069
hat.pdf[1-5]To show pdf-s inside ipython/jupyter notebooks you can use IFrame
from IPython.display import IFrame
IFrame("./samples/simple3.pdf", width=600, height=300)
Here is the screenshot
jupyter notebook was run on.
In addition to Jakob's excellent answer recommending the Wand bindings for ImageMagick:
If your PDF contains vector graphics, use the resolution keyword to control the size of the rendered image. ImageMagick's default value is 72 dpi. Higher values yield more pixels.
from wand.image import Image as WImage
img = WImage(filename='hat.pdf', resolution=100) # bigger
img
Assuming a multi-image pdf called Rplots.pdf
The following works in the jupyter notebook cell. For installation I used
pip install Wand
This code pastes into a cell
from wand.image import Image
imageFromPdf = Image(filename='Rplots.pdf')
pages = len(imageFromPdf.sequence)
image = Image(
width=imageFromPdf.width,
height=imageFromPdf.height * pages
)
for i in range(pages):
image.composite(
imageFromPdf.sequence[i],
top=imageFromPdf.height * i,
left=0
)
image.format="png"
image
I think there is a better way to do this, since
I would do it like this:
from PIL import Image
import matplotlib.pyplot as plt
import fitz
your_path = # YOUR PATH
doc = fitz.open(your_path)
MAX_PAGES = 1
zoom = 2 # to increase the resolution
mat = fitz.Matrix(zoom, zoom)
for i, page in enumerate(doc):
pix = page.get_pixmap(matrix=mat)
img = Image.frombytes("RGB", [pix.width, pix.height], pix.samples)
# display images
plt.figure(figsize=(7,7), facecolor="w")
plt.xticks(color="white")
plt.yticks(color="white")
plt.tick_params(bottom = False)
plt.tick_params(left = False)
plt.imshow(img)
if i > MAX_PAGES - 1:
break
s3 = boto3.client('s3'); pdf_file = s3.get_object(Bucket=bucket_name, Key=pdf_file_name); file_content = pdf_file['Body'].read(); with fitz.open(stream=file_content, filetype="pdf") as doc: for i, page in enumerate(doc):
PolicyError: attempt to perform an operation not allowed by the security policy PDF' @ error/constitute.c/IsCoderAuthorized/426, while this approach worked! However, could you please change not to use fitz. Everywhere you have fitz should be pymupdf, such as import pymupdf, see Problems after installation and note the current note at the bottom of repo linked from pypi fitz at this time.