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).
Related
Is it possible to move n cells from one notebook to a new notebook?
Programmatically move n cells from one notebook to a new one
Yes, you can use nbformat to take a notebook and limit the content of the new notebook to the a block of n cells of the original notebook.
"The nbformat package allows you to programmatically read and parse notebook files." - SOURCE, Tony Hirst's description
nbformat comes as part as Jupyter so it runs wherever you have your notebooks running.
Making a notebook from the first n cells of a notebook
I'm going to base this mainly on code adapted from my post at the Jupyter Discourse forum here. I have other examples with nbformat-related code you can get to from links below that post.
You can paste this code in a notebook that's running where your input notebook is located:
number_cells_to_keep = 5 # number of first n cells in the input notebook to keep
import nbformat as nbf
ntbk = nbf.read("old_notebook.ipynb", nbf.NO_CONVERT)
new_ntbk = ntbk
new_ntbk.cells = [cell for indx, cell in enumerate(ntbk.cells) if indx < number_cells_to_keep]
nbf.write(new_ntbk, "first_n_cells_of_input_notebook.ipynb", version=nbf.NO_CONVERT)
Edit the number on the first line to adjust the number of cells at the top of the original notebook that will be moved to the new notebook.
Making a notebook from a block of cells at a start point & spanning n number of cells
You could adapt the above code to select a specific internal range of cells.
This example illustrates starting the interval of cells at the fifth code cell and taking that and the following cells for a total of ten from the originating notebook to produce the new notebook:
cell_to_start_collecting_at = 5 # number of cell to start the span of cells to collect; first cell gets number 1 in bracket if run so use that numbering
length_of_cell_block_to_keep = 10 # length of sequential span of cells to keep
import nbformat as nbf
ntbk = nbf.read("old_notebook.ipynb", nbf.NO_CONVERT)
new_ntbk = ntbk
new_ntbk.cells = [cell for indx, cell in enumerate(ntbk.cells) if cell_to_start_collecting_at - 2 < indx < (cell_to_start_collecting_at + length_of_cell_block_to_keep - 1)]
nbf.write(new_ntbk, "has_interval_of_cells_from_input_notebook.ipynb", version=nbf.NO_CONVERT)
Edit the first two lines to adjust the starting cell number and length of the block of cells to move to the new notebook.
The collection of the cells for the new notebook using nbformat while iterating on the original notebook cells with for cell in ntbk.cells or a variant could be adapted & made to be complex. For example, if you had a list of certain cells to go into the new notebook or only wanted to count code cells for the point at which to start.
Use JupyterLab to drag by hand a sequence of cells to a new notebook
If you are trying to move a block of cells from one notebook to a new one using JupyterLab's graphical user interface, you open your new notebook and arrange it side-by-side next to the original notebook in your main pane by dragging the tabs with the notebook names to arrange them.
Then you can select the cells in the original notebook and then dragging from the top of that highlighted block, drag them over into the new notebook.
Save the edited version of the 'new' notebook.
Video illustrating the arranging and dragging approach is here.
It is featured under 'Drag cells between notebooks to quickly copy content' on the Notebooks page in the JupyterLab documentation.
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
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:
I am trying to edit a dataframe, content and titles from R.
there is a command edit(), but you can also invoke a vi editor by using vi([data.frame]).
You can view it and edit, it, but it saves the file to a file that I don't seem able to access and turn into a new edited data.frame.
example:
data(Orange)
test <- vi(Orange)
you should bring up a vi editor, and can change things here. if you save it, it creates a separate file in some temp directory. When you go back to R, and look at test, you'll see that none of your changes are in there.
Anyone know how to invoke a vi editor on the data.frame, such that the changes will be saved to a new data.frame?
I am running the same setup: OSX and R 3.0.1 and don't have an issue -- perhaps you're missing the saving step?
data(Orange)
test <- vi(Orange)
Then i edit the first data point, and hit the red button -- which opens a dialog box to save. You can also select save by hitting Command-S or selecting it from the menu.
This will not alter Orange, but it will pass the altered Orange to test.
Here is an example of IPython notebook in which besides the input and output cells we have a plain text. How can I do the same in my IPython notebook? At the moment I have inly In and Out cells.
Change the cell type to Markdown in the menu bar, from Code to Markdown. Currently in Notebook 4.x, the keyboard shortcut for such an action is: Esc (for command mode), then m (for markdown).
As it is written in the documentation you have to change the cell type to a markdown.
Step 1: Click on the '+' to create a new cell, type some text in, and select 'Markdown' in the dropdown
Step 2: It should now look like this:
Step 3: Click anywhere in the cell and click on 'Run'. Now it looks how you expect it to.
Simply Enter Esc and type m it will convert to text cell.
Adding to Matt's answer above (as I don't have comment privileges yet), one mouse-free workflow would be:
Esc then m then Enter so that you gain focus again and can start typing.
Without the last Enter you would still be in Escape mode and would otherwise have to use your mouse to activate text input in the cell.
Another way would be to add a new cell, type out your markdown in "Code" mode and then change to markdown once you're done typing everything you need, thus obviating the need to refocus.
You can then move on to your next cells. :)