![]() ![]() ![]() If(cell.get_text().includes('Delete me') || cell.get_text(). The code snippet below shows how you can delete all cells which had index higher than 5 which contain text: Delete me or Test Cell: from import display, HTML, Javascript ![]() It's possible to use JavaScript code in order to search cells based on their content and index in order to remove cells from your Notebook. Pro tip: If you want to delete cells based on input then you can change: if cell.cell_type = "markdown" to cell.input Step 3: Delete Cells based on Index and Content with JavaScript Note: Similar logic can be applied for Code/Raw cells which are marked as cell_type - code or raw You can do it easily if you keep the Axes instance when creating the figure: t arange (0,6,0.01) x sin (t) fig plt.figure () ax fig.addsubplot (111) ax.plot (t,x) If you're using pandas plotting functions, first create the axes as before and then pass the instance to the pandas plotting function as argument:. Nbf.write(new_ntbk, "OnlyMarkdown.ipynb", version=nbf.NO_CONVERT) What if you want to keep only the Markdown cells? Then you can change the code above to: import nbformat as nbf Note: If you need to recover deleted information from your Jupyter Notebooks please check: 6 ways to Recover deleted Jupyter Notebook (including JupyterLab) Step 2: Delete All Cells Except Markdown in Jupyter The code above will keep any cell which is not Markdown. The same notebook can be used but this can lead to code loss. Text can be added to Jupyter Notebooks using Markdown cells. New Notebook is created where Markdown cells are deleted. Nbf.write(new_ntbk, "MarkdownDeleted.ipynb", version=nbf.NO_CONVERT) Ntbk = nbf.read("Markdown.ipynb", nbf.NO_CONVERT) Calling the function, passing two strings as arguments, the first for the name of the hyperlink, the second for the name of the external jupyter notebook. The first example will show you how to delete all Markdown cells in the current notebook - Markdown.ipynb: import nbformat as nbf If you see a greyed out menu item, try changing the cells type and see. Step 1: Delete All Markdown Cells in Jupyter For example, a code cell cannot have an image inserted into it, but a Markdown cell can. To get the images to render you then also need to push that image folder into Github.Do you need to delete all Markdown / non Markdown cells from Jupyter? In this short guide, we'll see how to delete programmatically cells in Jupyter Notebook or JupyterLab. If you have matplotlib images, it saves them in a folder named README_files (not sure if there is a flag to change this option). To compile the notebook to markdown is quite simple: jupyter nbconvert -execute -to markdown README.ipynb You might typically want to add in README.ipynb to your gitignore file, but here I included it in the github package so you can see what this notebook looks like. But you can also include matplotlib images as well: (Note that the pip install code is not run in a %sh cell, it is just code formatting inside of a markdown cell.) I do like the way R markdown renders the output a bit nicer than here (I also haven’t tried with pretty pandas tables). So we have nice syntax highlighting even. Note: If you are planning to show your notebook in NBViewer write your latex. Here is the update, where I use jupyter to render the markdown nicely: Jupyter has an implementation of markdown language that can be used in in. You can see I have an example code snippet, but it does not actually output the results. Thetag stands for 'line break' and is used to produce a line break in the text. So first, here is the old readme in its entirety, rendered on Github: Use the tag to add a new line in a Jupyter Notebook markdown cell. Of course, you can always include code comments, but those cannot be formatted. This way you don't need to keep the image separately in the folder. By default, Jupyter notebook cells are formatted to display code, so without Markdown, there is no easy way to include explanatory text in your notebooks. You can insert the image in the Jupyter notebook itself. Note: You should have a local copy of the image on your computer. So here is a quick example of that for my retenmod python package. Insert the image directly in the Jupyter notebook. I thought to myself that you could functionally do the same thing with juypter notebooks for python. Working on my R package ptools, the devtools folks have you make a readme R markdown file to compile to a nice readme markdown file for github. ![]()
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