I would like to use an IPython notebook as a way to interactively analyze some genome charts I am making with Biopython\'s GenomeDiagram module. While there is extensive doc
Another option for plotting inline from an array of images could be:
import IPython
def showimg(a):
IPython.display.display(PIL.Image.fromarray(a))
where a is an array
a.shape
(720, 1280, 3)
Courtesy of this page, I found this worked when the suggestions above didn't:
import PIL.Image
from cStringIO import StringIO
import IPython.display
import numpy as np
def showarray(a, fmt='png'):
a = np.uint8(a)
f = StringIO()
PIL.Image.fromarray(a).save(f, fmt)
IPython.display.display(IPython.display.Image(data=f.getvalue()))
Note, until now posted solutions only work for png and jpg!
If you want it even easier without importing further libraries or you want to display an animated or not animated GIF File in your Ipython Notebook. Transform the line where you want to display it to markdown and use this nice short hack!
![alt text](test.gif "Title")
Courtesy of this post, you can do the following:
from IPython.display import Image
Image(filename='test.png')
(official docs)
If you are trying to display an Image in this way inside a loop, then you need to wrap the Image constructor in a display method.
from IPython.display import Image, display
listOfImageNames = ['/path/to/images/1.png',
'/path/to/images/2.png']
for imageName in listOfImageNames:
display(Image(filename=imageName))
This will import and display a .jpg
image in Jupyter (tested with Python 2.7 in Anaconda environment)
from IPython.display import display
from PIL import Image
path="/path/to/image.jpg"
display(Image.open(path))
in Anaconda this is done by typing
conda install pillow