Jupyter lab matplotlib widget 1. First: When I run a df. To enable interactive visualization Edit: Using Jupyter Notebook instead of of Jupyter Lab, which means pip install jupyter instead of jupyterlab fixes the issue. Here’s an example of the code: import matplotlib. Refresh your jupyter notebook and the widgets worked. When you want to embed the figure into a layout of other widgets you should call plt. GTK4Agg. # ipympl can be install via pip or conda. We also import some libraries: matplotlib for plotting, NumPy to generate data, and We start with putting %matplotlib widget which specifies that we want an interactive matplotlib figure (which can be zoomed, panned and saved). – K. 2 Share. The current, specific package and syntax for modern Jupyter Notebook 7+ and current JupyterLab is ipympl and %matplotlib ipympl. Follow asked Mar 1, 2023 at 9:30. This section provides the syntax and usage of few basic widgets - We start with putting %matplotlib widget which specifies that we want an interactive matplotlib I noticed that interactive widgets are not working in my Jupyter Lab notebooks. You need to only ever use one or the other while the kernel is running. Share. a tqdm progress bar jupyterlab_widgets is a library that helps Jupyter show widgets as program outputs. Draytek firewall rule isolate IP Makefile for a tiny C++ project Leveraging the Jupyter interactive widgets framework, IPYMPL enables the interactive features of matplotlib in the Jupyter notebook and in JupyterLab. matplotlib. So fare, plotting works nicely. subplots() data. I am using Version 0. Cursor for further processing when the user clicks on the point showed by the cursor. Widgets not showing in NBViewer. pyplot as plt import pandas as pd import ipywidgets as widgets import numpy as np out = widgets. The ipywidgets/ipympl/etc packages are already installed and would require the use of 'inline' as well. The ipywidgets provides a way to add widgets in the notebook with Python. We are aware of a few issues with the use of widgets in notebooks, but for this particular example try using: %matplotlib inline instead of 'widget'. - restarting kernel does not work. Matplotlib requires a live Python kernel to have interactive What worked for me: 1. 1 jupyter_client==8. – I have consistently used the following workflow for fully updating my Jupyter Lab working environments: $ rmvirtualenv my_env $ mkvirtualenv --python=`which python` my_env [my_env] $ pip install -r requirements. ) Make sure that you have Jupyter Lab version > 1. Also the plot changes dynamically only if I add plt. I've tried following the installation instructions but when trying to use %matplotlib widget I'm getting the 2 errors written in the title. 8. 2. See Image scaling using a RangeSlider for an example of using a RangeSlider to define a range of values. It is also a mystery why I have such old packages in base (miniconda installed today). Follow answered Aug 2, 2017 at 18:54. VBox(children=(Figure(axes=[Axis(scale=LinearScale()), Axis(orientation='vertical', scale=LinearScale())], fig How do I fix this? python; jupyter-lab; Share. Next we import the necessary libraries and objects and define a function # This requires jupyter-matplotlib a. Here is the code that I run in my jupyter notebook. Most of the time, installing ipywidgets automatically configures Jupyter Notebook to use widgets. The first approach is to use ipywidgets and Voila framework. 4w次，点赞10次，收藏30次。尝试解决使用jupyter绘图无法交互的问题文章目录问题描述一、升级jupyter lab二、安装jupyterlab拓展问题描述在练习《python数据手册》中matplotlib部分时，书中提到的魔术方法// 在notebook中启动交互式图形% matplotlib notebook无法使用并报错，以下是尝试解决的步骤，在此记录以防忘记。一、升级jupyter lab Actually there’s several issues going on here. – The plot display, but if I run the same code on Jupyter lab I get. close() after plotting the data. x the matplotlib widget is not working. Uninstall plotly and all other related packages like @nicolaskruchten recommends here. Usage. import matplotlib. widgets. pyplot as plt import numpy as np. Output() out2 = widgets. 83. interact) automatically creates user interface (UI) controls for exploring code and data interactively. I decided not to Currently there is an open issue on github discussing just how %matplotlib widget behaves differently compared to the rest of matplotlib. 2. 1 jupyterlab_widgets==3. How can I switch between %matplotlib notebook and %matplotlib inline 2. %matplotlib qt, %matplotlib notebook, %matplotlib ipympl. ion() display(out) I have an extensive answer about this here: Matplotlib figure is not updating with ipywidgets slider but the short of my recommendations are: use ipympl %matplotlib ipympl instead of notebook as this will play nicer with I have consistently used the following workflow for fully updating my Jupyter Lab working environments: $ rmvirtualenv my_env $ mkvirtualenv --python=`which python` my_env [my_env] $ pip install -r requirements. The following code should produce an interactive slider but doesn't: from ipywidgets import interact, interactive, fixed, interact_manual import ipywidgets as widgets def f(x): return x interact(f, x=10); What is the problem here, and how can I get widgets to work? Jupyter interactive widgets for JupyterLab. Follow I am having trouble finding a way to update a plot in real time with new data points while also having access to user input through widgets. Build examples folder after installing and building all node modules Go to examples/app, run python main,py , open notebook type and run What I expect is: Note: We must needed to add ” %matplotlib widget “, it is a Jupyter magic widget and used to tell jupyter to use interactive backend for plot. only when you restart jupyter lab from terminal it works. the codes I am tring to run are below: import url_widg It means once you’ve run %matplotlib notebook, you can’t later switch to %matplotlib widget (because the two will use different event loops). 10. The information under 'Basic Example' here in the ipympl documentation shows that %matplotlib widget is really using that now. Can someone help me run either the matplotlib widget or any other easy way of plotting in Jupyterlab. In this article, we'll explore how to create such Leveraging the Jupyter interactive widgets framework, ipympl enables the interactive To get started, we set the ipympl backend, which makes matplotlib plots interactive. Jupyter Notebook is an online platform for collaborative document creation and sharing that integrates live code, equations, visualisations, and explanatory text. txt [my_env] $ jupyter lab build [my_env] $ jupyter lab For anyone still struggling to make this work – these steps worked for me: If you have jupyter lab running – shut down your session. jupyter notebook - matplotlib shows figure even without calling plt. hist(ax = axes) display(fig) plt. linspace(0, 2*np. To enable interactive visualization backend, you only need to use Importing the appropriate Matplotlib modules is a prerequisite for using Matplotlib in Jupyter Notebook. ioff() with out: fig, axes = plt. Note. Hot Network Questions Getting combined counts when using qiskit_ibm_runtime. pyplot import * %matplotlib widget scatter(1,5) PS. This backend can be activated in IPython with %matplotlib gtk3. Widgets exist for displaying integers and floats, both bounded and unbounded. In my case I was nesting this into another Output widget to capture the For zooming and panning you need an interactive backend. Improve this answer. Jupyter notebook, Google Colab, Kaggle Kernel, etc. Help automatically rebuilding when needed jlpm watch # Run JupyterLab in another terminal jupyter lab With the watch command running, every saved change will immediately be built locally and available in matplotlib; jupyter-notebook; jupyter-lab; Share. There is only one problem: If I save the notebook, close the kernel and reopen the Hello, I am experiencing difficulties in displaying Matplotlib animation in Jupyter Notebook. Every time I try to create a figure: %matplotlib widget import numpy as np from matplotlib import pyplot as plt fig, ax = plt. widgets as mpl_widgets from ipywidgets import Widget not rendering on JupyterLab when running main. plot(x, y) [Open Browser The widget backend doesn't seem to work for me. Moreover, the Jupyter Notebook interface now looks similar to Jupyter It works in Jupyter Notebook 7+, too. ). If your Jupyter Notebook and the IPython kernel are installed in different The Jupyter Widgets project also maintains a plain HTML interface for embedding Jupyter Widgets on a webpage, and many other frontends support Jupyter Widgets. ) to render the figure as an interactive figure. -widgets/jupyterlab-manager --no-build jupyter labextension link . Please help. Actually there’s several issues going on here. In the above code, we define two lists x and y representing the x-coordinates and y-coordinates of the data points. Using notebook instead. It does "from pylab import *". In some situations, even with the correct kernel activated (where the kernel has matplotlib installed), it can still fail to locate the package. Output() with a matplotlib imshow and a matplotlib. Instead I receive the folllowing message: Failed to display Jupyter Widget of type Button. 1=py_0 in venv ! After conda update -c conda-forge ipympl nodejs, it works!. Basically this backend takes advantage of jupyter widgets and passes the figure to an Output widget. Numeric widgets# There are many widgets distributed with ipywidgets that are designed to display numeric values. pyplot as plt import ipywidgets Describe the issue I'm using the Jupyter Lab widget to generate interactive plots. subplots() x = np. normal(size = I am running Jupyterlab 2. Add a comment | 0 . pyplot as plt import pandas as pd import ipywidgets as widgets import numpy as np out1 = widgets. The second half of my posts here covers what you Jupyter Lab supports interactive plotting with matplotlib using the jupyter-matplotlib extension. Specifically because you are using Anaconda/conda as your primary package manager, run in the notebook where you want to use it %conda install -c conda-forge ipympl. pyplot as plt import Using matplotlib with the %matplotlib widget magic displays figures as widgets, but there seems to be very little interaction with the animation. Check the Jupyter Lab Extensions window if it is indeed installed. Ytsen de Boer Ytsen de Boer. I have also tried jupyter labextension enable ipysigma, jupyter labextension enable ipysigma user and jupyter labextension enable ipysigma sys-prefix. Previously, I could easily display it by using the %matplotlib notebook magic command, but ever since I downloaded the new Anaconda version (Anaconda3-2024. Using %matplotlib notebook will render images after all cell being completed, rather than after a cell is completed. 3,076 2 2 gold badges 28 28 silver badges 39 39 bronze badges. backend_nbagg It shows the plot correctly and I am able to save it interactively, however, the zoom function and all the other interactive function do not work. 0 and ipywidgets > 7. 02-1) on my new laptop, it is not working. Improve this question. The figure canvas element is a proper Jupyter interactive widget that can be positioned in interactive widget layout format. There are two mechanisms for having matplotlib render directly inside a Jupyterlab window: % matplotlib inline or % matplotlib widget The inline backend generally just works, and what you see is what you will get when you savefig(). Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company This backend can be enabled in a Jupyter notebook with %matplotlib ipympl or %matplotlib widget. The default backend in Windows 10 jupyter running inside Visual Studio Code 1. 353 2 2 silver badges 12 12 bronze badges. 2 on Ubuntu 19. and when I tried to plot a histogram, I got: Javascript Error: IPython is not defined So, what should I do? I just want to zoom on histrograms. a. GTK3Agg. ) ipympl is an install doing a lot of things. The complete list can be obtained here on the official documentation. Add a comment | 1 Answer Sorted by: Reset to default 0 Solution. show() and move the for-loop to the next cell (under the plot) as @ImportanceOfBeingErnest suggested. subplots() I get this in the output cell: In jupyter lab I had to use %matplotlib widget instead of %matplotlib notebook. You may use e. Matplotlib Configuration. It is best to turn everything off and restart everything after installing it. IPYMPL in Jupyter Lab. ipympl. It seems like you don’t have the matplotlib widget installed and built correctly. I found this discussion and so I did conda install nodejs and now the first code block in my question works with %matplotlib widget and also %matplotlib ipympl, with both types of In this article I will present two alternative approaches for adding widgets into Jupyter Notebook, namely ipywidgets+Voila and Mercury. pyplot as plt import numpy as np fig, ax = plt. Secondly: When I run a widgets. (Note, ipympl respects the legacy %matplotlib widget but it is better to be explicit. py on examples/app and examples/notebook. The plot() function is used to create a line plot, and the xlabel(), ylabel(), and title() functions set the corresponding labels and title of the plot. Finally, the show() function displays the plot. Erik Iverson Erik Iverson. Output() data1 = pd. Here we will end up with the figure being displayed twice. Let it run and complete. These are the standard imports I use for most of my Jupyter notebooks with sliders: %matplotlib inline from __future__ import division from ipywidgets import * import numpy as np import matplotlib. 3 on Linux. ioff() before creating the figure otherwise plt. Try Jupyter Widgets Lab Notebook Try Now How-to Guides; Widget List; Widget List# import ipywidgets as widgets. I thought conda install updates the packages and it did not update them in this case. 1 in base and ipympl=0. % matplotlib inline from ipywidgets import interactive import matplotlib. If you've tried all the other methods mentioned in this thread and still cannot get it to work, consider installing it directly within the jupyter notebook cell with !pip install matplotlib – I noticed the same recently, and so I made a small experiment to summarize what was working where, and here it is of course you need to pip install ipympl to use either widget or ipympl for that reason I’m going to switch to using %matplotlib ipympl because it also works in the context of vs-code, and it’s often handy to be able to use vs-code as well frontend I´ve been trying to create interactive graphs in jupyter lab, I used: %matplotlib widget But then I got this message: Warning: Cannot change to a different GUI toolkit: widget. Follow asked Aug 8, 2023 at 13:51. with zooming, moving around, rotating etc. The library So two questions come up for me: That's a pretty unhelpful message. 4): #interactive charts inside notebooks, matplotlib 1. I'm using jupyter-lab and this works for me (adapt it to This is a bit outdated. random. In the second cell create a new Describe the issue This example plot is failing: %matplotlib ipympl import matplotlib. The widget The default mode of matplotlib plots in Jupyter notebooks is the static inline mode. Any help would be much appreciated! %matplotlib inline import ipywidgets as widgets # 都知道matplotlib在jupyter notebook或者在lab里面是默认情况不能交互的 解决方法： conda install -c conda-forge ipympl pip install ipympl 选择一个即可（conda或者pip） 安装上面，然后在jupyter notebook里面加入： %matplotlib widget 即可 如果希望在jupyter lab里面使用，还要运行安装下面内容： conda install -c conda-for. Follow edited Oct 18, 2019 at 11:04. plot() once, it works well, I can see the graph and the cursor, but when I run it again I only got <Axes: >. Add a comment | 0 Jupyter Lab issue displaying widgets (javascript error) Hot Network Questions I probably disallowed using the camera at some time in the past and now can't find I have the following snippet in the first cell of a Jupyter notebook: import matplotlib. You also can use new notebook backend (added in matplotlib 1. It is the easiest way to get started using IPython’s widgets. Let us know if you continue to have problems. Go to root folder after cloning GitHub - jupyterlab/jupyterlab: JupyterLab computational environment. Slider#. /js cd js && npm I'm running a jupyter notebook but the jupyter widgets does not appear. Warning, this is a crosspost from SO I’m using ipywidgets along with matplotlib in Jupyter Lab and stumbled across some strange behavior. 9. k. display import To go beyond the basic interactivity that Matplotlib provides out of the box, we can add custom controls using the Jupyter Widgets library , which is a set of interactive browser controls (user interface widgets) that work in Jupyter I tried replacing %matplotlib notebook with %matplotlib widget, using the ipympl library, but that didn't work: The figure only shows once the loop is finished. You could also run conda list and see how the output compares to your pip list . Now the question is: How could I use that feature with a julia kernel? I would like to fill a ipywidgets. Enjoy it! Published in Tools. Then I just call interact (function, arg1=(0,100,1), arg2=(0,100,1), etc. ) use %matplotlib widget 2. Here is a quick example, the goal is to have the plot updating in real time and also be able to change the xlim of the plot using the slider widget. Often the default settings of IPython/jupyter notebook are to show a png image of the plot; pngs are not interactive. 229 2 2 silver badges 14 14 bronze badges. pi, 100) y = np. If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean that the widgets JavaScript is still loading. Output() data = pd. 34 . Even very simple plots don't show up. The widgets need to be connected with code, there are observe, Interactions with other widgets and layouting#. I am not able to interact with the widgets. DataFrame(np. Help; Sponsors; Log in; Register; Menu . answered Aug 31, 2017 at 10:55. I think the main one is that now with ipywidgets explicitly handling the output is necessary to control what goes to output vs. msg msg. The former occurs if my plot is in the same code cell as the %matplotlib widget magic command, the latter occurs when they are in separate code cells (at least thats what it seems to me). SamplerV2 Find the probability that the same boy does not receive both the pens. widget not working in ipython notebook. Lots of widgets are available in ipywidgets for jupyter notebooks. I am having trouble displaying plots inside of Jupyter tab widgets. Note: The %matplotlib inline command is required when displaying plots within a . We can use the Jupyter Widgets library (Ipywidgets) to make a plot more interactive. ipympl enables using the interactive features of matplotlib in Jupyter Notebooks, Jupyter Lab, Google Colab, VSCode notebooks. e. I'm happy to debug more. See Snap sliders to discrete values for an example of having the Slider snap to discrete values. preprocessing. I use both 2d and 3d plot within my notebook. The ipywidgets package does this by depending on the widgetsnbextension package, which configures the classic Jupyter Notebook to display and use widgets. interactive plot; Jupyter; jupyterlab; plotting; Previous Post Emacs and Google Drive. from matplotlib. Skip to main content Switch to mobile version . jupyter labextension list Ensure that jupyter-matplotlib shows up on the list. Make sure you have the latest distribution. You’ve noticed this using JupyterLab; however, since Jupyter Notebook 7+ is built on the same tech, it is necessary there now, too. 0. Can it be that I am missing some packages? Any ideas? python3 -m jupyter lab Basic Interactive widgets in Jupyter Notebooks. Given below are some Hum, strange: ipympl=0. My notebook takes a long time to run (5 minutes). Here’s what I would do to verify the installation, and build jupyterlab extensions if that hasn’t happened yet. If it doesn’t, don’t fret. See here about installation and trying the Basic Example below that. x canvas (requires PyGObject and pycairo). Now instead of a static 文章浏览阅读1. Lucas Igor Balthazar Lucas Igor Balthazar. In the first cell call plt. 0. 6. If you have a list of images and want to animate through them, you can use something like this: from keras. It would be nice to have animation controls, but to achieve this I’ve found I have to go around the widget provided and create my own interface, linking up the controls to the animation. sin(3*x) ax. The notebook cell code: 1. Besides, the figure canvas element is a proper Jupyter interactive widget which can be positioned in interactive widget layouts. Works with Jupyter lab and notebook>=7. 13 matplotlib 3. Agg rendering to a GTK 4. txt AttributeError: __delete__ when saving figure in jupyter lab with %matplotlib widget. I got solution on this. pyplot as plt import Modern Jupyter tech now uses ipympl to support the interactivity, and so it would be more explicit to recommend %matplotlib ipympl. 7. Here is the link to the discussion. Follow answered Feb 19 at 11:28. figure() will trigger a display of the canvas automatically and outside of your layout. 1,810 1 1 gold Try Jupyter Widgets Lab Notebook Try Now How-to Guides; Using Interact; Using Interact# The interact function (ipywidgets. Commented Sep 17, 2023 at 10:48 | Show 12 more comments. Reinstall the library by entering the following commands one at a time. Ipywidgets with Voila. What is happening is that there is a global widget rendermime that immediately says things are loading, and later on the widget manager gets #normal charts inside notebooks %matplotlib inline %pylab magic imports a bunch of other things and may even result in a conflict. 1 or higher. To enable the ipympl backend, simply use the matplotlib Matplotlib and Jupyter Notebook are two popular tools used by data scientists and analysts for generating visual representations of data and doing exploratory data analysis. the Log console. matplotlib; widget; ipython; jupyter-lab; Share. This issue looks like #171, but for me even simple matplotlib plots don't show up. Keep in mind that the ipympl version for Jupyter Lab requires NodeJS, which in turn needs Windows 8. Search PyPI Search. More specifically, the Ipywidgets library boasts a set of user interface widgets that work flawlessly in Jupyter Notebook and Jupyter Lab. To exclude VSCode as the source of the problem you could run jupyter lab or notebook from the command line using this environment and run your %matplotlib widget code in that to see what happens. Without using ioff #. 10, since my upgrade to Jupyter lab 2. normal(size = 50)) plt. What I do not want are solutions like the one proposed by Ziofil in or the one by Paidoo in jupyterlab interactive plot which clear the whole output, as I might print additional things such as e. To get the interactive functionality described here, you must be using an interactive backend. 4+ %matplotlib notebook Installing in classic Jupyter Notebook#. Its what I'll do in lieu of an answer here, but would still like to know if anyone has a straightforward fix for Jupyter Lab. Behaviour with inline backend %matplotlib So it turns out when you want to use interactive plots (i. 4. notebook<7), you can use % matplotlib notebook which uses the backend_nbagg backend provided by Matplotlib; however, nbagg does not work in Jupyter Lab. You can also call Leveraging the Jupyter interactive widgets framework, IPYMPL enables the interactive features of matplotlib in the Jupyter notebook and in JupyterLab. 10 python 3. We do this using a magic command, starting with %. g. 5 installed, as adviced When working in a Jupyter Notebook environment, you can produce interactive Matplotlib plots that allow you to explore data and interact with the charts dynamically. 17 1 1 bronze badge. normal(size = 50)) data2 = pd. With the help of Jupyter Notebook’s widgets Jupyter Notebookでは%matplotlib notebookで簡単にインタラクティブな描画ができる一方、JupyterLabでこのコマンドは動作しない Leveraging the Jupyter interactive widgets framework, jupyter-matplotlib enables the interactive features of matplotlib in the Jupyter notebook and in Jupyterlab. Describe the issue. matplotlib widget disappears after first use. % matplotlib widget to select and enable it. %matplotlib widget. Open to suggestions to language that would make that more clear, but unfortunately that’s exactly what the existing message says to me (but Use %matplotlib widget to get all your plots as a widget; Usage: After changing the backend using %matplotlib widget, the the plots generated using matplolib package appears inside a widget box. I have also tried to completely reinstall this enviroment once. The pyplot module is often imported because it offers a plotting interface similar to We can use the Jupyter Widgets library (Ipywidgets) to make a plot more interactive. J. Agg rendering to a GTK 3. 3. The 'README' link at the end of that line about widget at the wiki you reference even goes to ipympl github %matplotlib Using matplotlib backend: module://ipympl. interact(), results are shown in my log files (and so without a cursor). In this example, sliders are used to control the frequency and amplitude of a sine wave. To change that mode and get interactive plots, simply add the magic command %matplotlib notebook to your notebook once: In JupyterLab and VS Code, we have to use the %matplotlib widget command instead, otherwise the interactive plots won’t show up: % matplotlib widget Update 2019: If you are running Jupyter Lab you might want to use %matplotlib widget. We have to add it to the top of the script to create an interactive plot in the ipython notebook (i. show() Hot Network Questions In a world with magic that can be used to create fireballs cast from a persons hands, could setting off a fireball underwater create temporary oxygen? Install all necessary software such as Jupyter-Lab if needed: conda install -c conda-forge jupyterlab; Then install the following: conda install -c conda-forge ipympl; Then add “%matplotlib widget” to your jupyter notebook. ) in jupyter lab with a python kernel, you need to use %matplotlib widget, this at least works for me. ; I am trying to run the notebook “InSAR Time Series Analysis using MintPy and HyP3 products” using OpenScienceLab Server. 0 jupyter_core==5. If for some reason the library ins’t working as expected, you can run into problems. More specifically, the Ipywidgets library boasts a set of user interface widgets that work flawlessly in AttributeError: __delete__ when saving figure in jupyter lab with %matplotlib widget. image import load_img, img_to_array from matplotlib import animation from IPython. Consider the following snippet: import matplotlib. 2, jupyterlab Version 3. 33. If you only need to use the classic notebook (i. The integer widgets share a similar naming scheme to their floating Here are some notes I've taken about using Jupyter Lab and its integrations with matplotlib. %matplotlib ipympl import numpy as np import matplotlib. Next Post PyTorch Code Leveraging the Jupyter interactive widgets framework, ipympl enables the interactive features of matplotlib in the Jupyter notebook and in JupyterLab. pyplot as plt import matplotlib. Although installing it is a bit more complex, it works well. . See the Jupyter Widgets wiki page for more information from the community about kernels and frontends that support Jupyter Widgets, as well as some custom widget packages built on top of the Jupyter Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company I have issues when using %matplotlib widget in JupyterLab Desktop. pyplot as p. tomcheney tomcheney. This prevents the figure from being displayed right away. Try Jupyter Widgets Lab Notebook Try Now How-to Guides; Using Interact; Using Interact# The interact function (ipywidgets. I am really struggling to get good plots for many days. Edit: I've also tried calling the jupyter nbextension install --py --symlink --sys-prefix ipympl and jupyter nbextension enable --py --sys-prefix ipympl commands just to be sure. fjqyq hcjvpc sbux luefte gyvmj bjdj wqtoiw nktkr fxhoe wygqduh