In my case, it helped reduce the size of the jupyter notebook, preventing it from crashing when rendering and updating matplotlib.pyplot charts.In this article, I will take you through the steps to install Jupyter Notebook on Ubuntu 20.04 LTS (Focal Fossa). This seems to avoid caching issues, and the image displays in PDF exports correctly (see also Jupyter notebook matplotlib figures missing in exported pdf for the answer this is based on). Similarly Image('./someImage.png') will display an image from disk (without saving). Then at the end of a code cell, something like saveImage('./someImage.png') will save and display an image. Plt.savefig(path, facecolor="white", bbox_inches='tight') I fixed it by using from IPython.display import Image I had the same problem of images caching in jupyter and not updating when the file is modified when using matplotlib.pyplot. My environment: macOS 10.14.2, Chrome browser 71.0, and Jupyter 1.0.0 installed through anaconda. You should be able to see the updated image. ipynb_checkpoint/ directory then reload the browser. Now remove/delete that cache file in the. There should be a file in that cache directory that has the same file name as the one you are working on. ipynb file resides, there is a cache directory called. Should update the image everytime you run the code cell # now use IPython's rich display to display the html image with theįrom IPython.display import HTML, display For example Ī programatic way to do this would be to include the picture via python, instead of markdown, for instance: # pick a random integer with 1 in 2 billion chance of getting the same A hack way to solve this would be to add a random argument to the end of your image url. I ran into this problem as well, where I was using a class of my own to output some python plots and embed them in an IPython notebook.
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