![]() ![]() And of course after properly installing the toolkit, my original datset was also rendered correctly in interactive mode. Here’s a very basic sample that I used to test whether my 3D scatter plot could be displayed interactively. The interactive plot finally shows up successfully! After that, I can import and use the tkinter module, and set matplotlib to use TKAgg as the GUI backend. Installing the TKinter wrapper and all other stuff just won’t fix this gap! What better than to restart the Python installation to modify my existing bits? This time I chose Modify and made sure I checked tcl/tk and IDLE. Turns out this is a fundamental issue in which the TCL/TK GUI toolkit is missing from my Python installation. Jupyter Lab to run the sample code below, together with doing #2 above. Per multiple SO answers, tkinter is python version-specific, so I tried to install tkinter for my version of python by doing pip install python-3.10-tk (couldn’t find this module). These two were very popular answers in SO but they don’t work.ĭo a pip install tkinter (couldn’t find this module) I used %matplotlib widget or %matplotlib notebook at the beginning of my code block. Use the %matplotlib magic line command to setup aīackend for plotting. Ipympl and followed its documented usage. Import the TKinter module and specify it to be used Matplotlib’s backend as follows, still doesn’t work. This completed successfully, and I followed the instruction to import the tkinter module in code, but it claims the module is not found. Here are some I’ve leveraged from StackOverflow and personal blogs.ĭo a pip install tk for the tkinter interface. I’ve searched high and low for solutions as this seems to be a very common problem among Matplotlib users. Set it to use a GUI backend? Tried but failed solutions # My current setup seems to be missing the necessary backend, which should be a GUI toolkit for Matplotlib to render graphs outside of Jupyter. I did some research and learnt that Matplotlib can be set to use different backends to support various types of outputs (e.g., save to PDF, inline - as in a shell or inside Jupyter, interactive, etc.). Or if I’m running a Jupyter notebook in Azure Data Studio), I’ll get another error JavaScript output is disabled in Notebooks. This happens when running either a Jupyter notebook (.ipynb) or directly from a Python (.py) file in VS Code. However, when doing so, I get the error UserWarning: Matplotlib is currently using agg, which is a non-GUI backend, so cannot show the figure. So I try to produce an interactive 3D graph to rotate along the axes or zoom in to a particular region for further examination. ![]() Matplotlib library, a static inline graph works fine in my notebook, but it provides not much value as it flattens one axis where my data are concentrated. Recently, I want to visualize the distribution pattern of my dataset for trimming. I’ve been using Jupyter notebooks inside Visual Studio Code as my Python coding environment, and really enjoy its capability to mix markdown, code, text output and charting in the same place. ![]()
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