I want to delete all markdown cells from a jupyter notebook. The only possible way to do this, as I see, to download it as .py file, then copy and paste in a new jupyter notebook. Is there a way to do this without breaking cell structure?
nbformat can be used to do that:
import nbformat as nbf
ntbk = nbf.read("old_notebook.ipynb", nbf.NO_CONVERT)
new_ntbk = ntbk
new_ntbk.cells = [cell for cell in ntbk.cells if cell.cell_type != "markdown"]
nbf.write(new_ntbk, "no_markdown_notebook.ipynb", version=nbf.NO_CONVERT)
For less 'broad-strokes' notebook cleaning, Chris Holdgraf's nbclean is my go-to tool for this type of thing.
(This answer was adapted from code to do the opposite process: Delete all code cells except markdown text).
Related
I'm looking for a library/tool that can generate a .py file from a notebook, with the added feature that I want to control which cells (both code and markdown cells) get exported and/or excluded from the .py file. For example adding to cells something like %exclude or %include and have control at export time how to work with these tags. I found jupytext that may do this, but got me confused with the version control part / link of .ipynb/.md.
Is there a convenient way to render all markdown cells in a Jupyter notebook at once without running the code cells?
I find it quite annoying that while moving through my notebook and doing some little corrections the markdown cells "loose" their formatting. Is there an extension or a command with which I can "run" (i.e. render) all and only the markdown cells? If not, is there a way to at least update the table of content from the markdown cells. My table of content is realized via nbextensions.
You could use JupyterLab which provides a Render all Markdown cells action if you are not limited to plain Jupyter notebooks. Doing this programmatically within the notebook seems to be not trivial to do as we can derive from this GitHub issue. We might be able to implement this ourselves, but I am not aware of any resources that provide something similar.
While working with ipython I used to edit an object with:
ed my_obj
And the editor opened the code defining the class of the object. I cannot find how to do the same thing in a jupyter notebook. Is it any possible?
The magic command %ed and %edit won't work in jupyter notebook.
I'm not quite sure why exactly jupyter doesn't support this edition, but probably because it can't know exactly when the user finished editing the file and the edited data should back to the cell.
If you want to edit the content of a string in a cell, you can use the following command:
a = 'jupyter'
get_ipython().set_next_input(a)
You can also use the %%writefile to save the content of the cell into a file and edit it outside jupyter.
%%writefile test.txt
[1, 2, 3]
And also use %load to bring the content to the cell:
%load test.txt
Basically I want to copy (Ctrl+C) only the code portions from multiple cells without also copying the output or the In[1]: and Out[1]:
What is the easiest way to do so?
When you are on a cell in Command mode(blue color mode), simply press Shift + DownArrow or Shift + UpArrow to select multiple cells. Press ctrl + C. And that's it. You have copied your entire selected code at once. It doesn't affect whether you have cell outputs.
Command mode: The Jupyter Notebook has two different keyboard input modes. Edit mode allows you to type code or text into a cell and is indicated by a green cell border. Command mode binds the keyboard to notebook level commands and is indicated by a grey cell border with a blue left margin.
In jupyter you can copy several cells or the content of one cell. If you follow #BenWS comment you can copy several cells, and if you do kernel > restart & clear outputs beforehand you woult not get the [out]. Shortcut is C for copy cell and V shift + V to paste below / above.
However if you intend to copy several cells content, you should merge then before by select them and shift + M and then you can copy paste with ctrl + C.
What worked for me is the following:
update jupyter notebook within a cell using:
pip install -U jupyter notebook
go in command mode by clicking to the left of a cell. If you click inside of a cell, it will be green.
Use shift+down/up to select the cells you want to copy and use ctrl+c
Now the most important one: make sure the jupyter file you want to copy the cells into is ALSO in blue/command mode. If this is not the case, you will copy all the cells into a single cell.
Just do:
File > Export Notebook As > Export Notebook to Asciidoc
and it will be easy to copy paste.
This is what an Asciidoc file looks like:
+*In[ ]:*+
[source, ipython3]
----
import pandas as pd
df = pd.read_csv("data/survey_results_public.csv")
df.tail(10)
df.shape
pd.set_option("display.max_columns", 85)
pd.set_option("display.max_rows", 85)
schema_df = pd.read_csv("data/survey_results_schema.csv")
schema_df.head(10)
----
In the latest version of JupyterLabs:
File > Export Notebook As > Executable Script
Gives you the code as a text file.
Open notebook dir as project in PyCharm, and then open the wanted ipynb file, select and copy all the source code, past into notepad++, replace "\r\n#%%\r\n\r\n" by null with extended search mode.
For jupyterlab after Shift + UpArrow or Shift + select with mouse on multiple cells. Right click on cells for copy(C) and paste(P).
How is this done? I'd like to have the link be in a markdown cell.
For visual learners:
[blue_text](url_here)
In case it is not a markdown cell, that is with what I went:
from IPython.core.display import display, HTML
display(HTML("""text"""))
Just another tip, using magic expression.
%%html
Showing Text
Improved. Thanks to the comment of calocedrus.
Here is the code I use in my python notebook when I want to insert a link to a webpage inside a markdown cell (in a python notebook).
[Clickable_visible_hyperlink](Hidden_landing_URL)
--note Here is the clickable hyperlink, you can change the value
This might help too, if you're looking to display a link programmatically.
from IPython.display import display, Markdown
display(Markdown("[google](https://www.google.com)"))
I also tried
display(HTML("""<a href="https://www.google.com>google</a>"""))
But somehow I was getting the object printed out, instead of the rendered version.
For programming in R, do the following when using Jupyter Notebook or Jupyter Lab - (using the R kernel). These steps will display a web link and an image in a Notebook markdown cell. The following shows a real-life example of some study notes using Jupyter Lab and R.
First open a markdown cell in Jupyter - can be a new markdown cell or an existing markdown cell. Then copy and paste the actual web address into a markdown cell. This will provide an active link to that website from the Notebook.
Step 2, from that website, copy the image that you want to view in the Notebook. This image should be in a standard image format (.png, .jpg, etc ). Paste this image into the same folder on the computer where the Jupyter notebook file is located. Note: if the image is later deemed too large or small, then resize using any graphics software available - and then save the changed image into this same folder. Note: it is important to know the name of this image file.
Next, paste the name of the image file between the quotation marks in the following code: . If this file in not within your existing jupyter notebook working directory, then a path to the image file will need to be placed inside the quotation marks.
Step 3, also included is an example of the line of code (also used in Notebook markdown cell) to create colored text in markdown cells. In this line of code, the double ## character results in the second largest font being used in Jupyter. Smaller text using more of these characters - with #### being the smallest. One # results in the largest font output.
Last, be sure to close and run the markdown cell to view the output. The code for the markdown cell follows, and further below shows the output from the Notebook.
Code in Markdown cell:
"https://www.tensorflow.org/images/colab_logo_32px.png" # link to website
<img src="tidyflow.png" /> # The image file (This path is the same folder as Notebook file)
## <font color = cyan> Some Colored Text in Notebook Markdown Cell </font> # colored text
Output: