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I am using ubuntu 14.04 and coding in jupyter notebook using anaconda2.7 and everything else is up to date . Today I was coding, every thing worked fine. I closed the notebook and when I reopened it, every thing worked fine except that the image was not being displayed.

%matplotlib inline import numpy as np import skimage from skimage import data from matplotlib import pyplot as plt %pylab inline img = data.camera() plt.imshow(img,cmap='gray') 

this is the code i am using, a really simple one but doesn't display the image

<matplotlib.image.AxesImage at 0xaf7017ac> 

this is displayed in the output area please help

5 Answers 5

42

You need to tell matplotlib to actually show the image. Add this at the end of your segment:

plt.show() 
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Comments

17

To show image in Jupyter Notebook by matplotlib, one should use the %matplotlib inline magic command and plt.show().
As for your code, adding plt.show() after plt.imshow() expression will make the image shown.

Comments

11

If using the inline backend, you just need to call plt.show().

If you are using the notebook backend (%matplotlib notebook), then you should call plt.figure() before plt.imshow(img). This is especially important if you wish to use interactive figures!

Comments

1

change kernel from xpython to original python kernel

Comments

0

Open your ipython config file, or create it if it doesn't exist:

ipython profile create cd ~ cd ~/.ipython cd profile_default/ vim ipython_config.py 

Uncomment the line containing TerminalIPythonApp.gui and remove space as shown below. Remove None and put qt5 in single quotes:

c.TerminalIPythonApp.gui = 'qt5' 

Open your virtual environment folder (mine is - python_virtual_environment):

cd python_virtual_environment 

Activate your venv and install qt5 in the virtual environment:

source venv/bin/activate pip install PyQt5 

Open ipython again, and it will work.

If it still doesn't work, try searching for InteractiveShellApp.gui in vim normal mode:

/InteractiveShellApp.gui

and replace None with 'qt5'.

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