So I have few pdfs files which I uploaded to my repository on Github. Now I am uploding a jupyter notebook file in the same directory as the pdf files on github and want to display pdfs inside the jupyter notebook.
I used the following method to embed pdfs in a notebook.
from IPython.display import IFrame
IFrame("https://github.com/user/first.pdf", width=900, height=800)
Now the same thing works when I do this on my local laptop where I store the pdfs in a directory and link that to the jupyter notebook file on my laptop. I can see the pdfs inline too.
However when I do the same thing on Github, it doesn't show the pdfs and get the following thing:
So am not sure why it is not able to link the pdfs stored on the same repository on github and display them while it works on my local system
Any help?
Thanks
In the case of Github, it is because of X-Frame-Options restriction.
See: iframe not rendering in ipython-notebook
As a workaround, you can try using rawgit.com:
Example:
https://raw.githubusercontent.com/mozilla/pdf.js/raw/master/test/pdfs/S2.pdf (does not work)
https://rawgit.com/mozilla/pdf.js/master/test/pdfs/S2.pdf (works)
Related
I've uploaded a .ipynb jupyter notebook in GitHub but it doesn't display the exact same output as I've written in jupyter notebook.
Here's the link to my repo: ipynb file
You need to view the notebook as "rendered blob" not as "source blob". In GitHub, this is done by selecting the second rendering option in the top right:
It is mostly issue with Github backend. Try this way instead uploading directly
Go to --> https://nbviewer.org/
Paste your .ipynb github link here.
You can downlaod or embedded your file directly from here..
In our institute, we use OneDrive / Sharepoint from Microsoft to share files with each other. I am also sharing my Jupyter notebooks - with extension *.ipynb - there. Unfortunately, when one clicks on such a file the message "Hmm... looks like this file doesn't have a preview we can show you" appears. In my case I developed my notebooks with python. It's not necessary that my colleagues can run the notebook, but it would indeed be much easier to be able to install a kind of plugin for previewing on the Sharepoint server. Is there any product that can work like this? Otherwise I'll have to always export the file to HTML or so :-(
Unfortunately, there isn't any good news so far. Such a plugin seems to be unavailable as yet. For the meantime, I have automated the exporting of the notebooks to HTML on my Windows 10 machine as follows:
For /R .\ %G IN (*.ipynb) do jupyter nbconvert --to html "%G"
For use in a *.bat file, you'll have to double the %-signs.
When finding an interesting Python Jupyter Notebook, such as 02.00-Introduction-to-NumPy.ipynb, I usally have to:
download it locally
open a shell in the same folder (tip: use SHIFT+RIGHT CLICK+ Open command window here to save 30 second browsing in the different folders) and do jupyter notebook
select the right .ipynb file, and finally run the code
Isn't there an easier way to do this?
What is the natural way to open a .ipynb notebook which is online, and run the code, without having to manually download the .ipynb?
Note: the notebook is visible here: https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/02.00-Introduction-to-NumPy.ipynb but we can't run the code
#jakevdp builds in a nice way to do that, see here. In short, on each page he has an Open in Google Colab button:
#GoogleColab can open any #ProjectJupyter notebook directly from #github!
To run the notebook, just replace "http://github.com " with "http://colab.research.google.com/github/ " in the notebook URL, and it will be loaded into Colab.
Example: 02.00-Introduction-to-NumPy.ipynb becomes: https://colab.research.google.com/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/02.00-Introduction-to-NumPy.ipynb
By default, code will run on Colab's distant server, but it's also possible to run it locally, by clicking on top right's Connect to local runtime...:
I personally prefer the MyBinder project as a route. It will open temporary, active sessions with the contents of any Github repo, Github Gists, Gitlab repo, Zenodo archive, Dataverse repo, Datashare archive, Figshare archive, and others. Many repositories already include the necessary configuration files and even put a launch binder button them. Some don't but you can go to the form at MyBinder project and generate a session. That form will also generate a URL that you can use to target the public MyBinder system to open a session alter For example, this person posted the link to open a session for all of Jakes notebooks, you just got to the URL https://mybinder.org/v2/gh/jakevdp/PythonDataScienceHandbook/master?filepath=notebooks%2FIndex.ipynb to tell MyBinder to start a session. Then from the index page that comes up you can click on the link you listed above and run it. Jake included configuration files that MyBinder also recognizes. Note, for some repositories or archives you'll point MyBinder at, it won't have the necessary configuration files and so you can run %pip install <package_name_here> or %conda install <package_name_here> in the current session and continue on running code. Limitations include that you have to be concerned with not sharing anything you wouldn't mind be public, limited resources, and FTP is not allowed to avoid abuse.
Some others to get you started:
A Gallery of Popular Binders (You'll note the one you referenced is listed in the number one position under Featured Projects there.)
Analyze CMS Open Data in Jupyter Notebooks using Binder
Tidal constituent database mapped with Datashader
Sample Binder Repositories For example, the first one listed there includes the library seaborn installed in the environment that launches & uses it to plot a figure.
In Google CoLab on the left is a pane that can be opened that shows Table of Contents, Code snippets, and Files.
In the Files pane there is an upload button, I can upload a notebook file to this Files area. But once the notebook file is uploaded, there is no option to run it as a notebook. The menu option File->OpenNotebook doesn't show the CoLab /content/ files as an option to start a notebook.
Is there a way to do this? Or can it be added in future releases?
The reason for this request is I'd like to git-clone a repo with multiple notebook files into the /content (or Files) area of CoLab. And then be able to easily switch between the notebooks, much like the native Jupyter notebook interface that shows a directory with potentially multiple notebooks that can be started.
I've tried right-clicking on the notebook file in Files but there is no option to start the notebook. I've tried using File->Open_notebook... the Files files aren't shown as an option in any of the tabs.
The desired results is that I can start .ipynb files (i.e. Jupyter notebooks) directly from the 'Files' or /content/ section of Google CoLab.
You can run other notebooks in your current notebook like this:
# if the file was on the google drive
%run /content/gdrive/My\ Drive/Colab\ Notebooks/DenseVideoArchitecture.ipynb
# simply replace the path in your case
%run /content/DenseVideoArchitecture.ipynb
But what you are asking is to switch between different notebooks in the same environment which might not be possible in collab.
I couldn't understand what you actually need, but I hope below code help you:
from google.colab import drive
drive.mount('/content/gdrive')
!cd content/gdrive/My Drive/Colab Notebooks
You should mount your google drive and now you have access to drive as a local drive. In this code, at first two lines, I mount gdrive and then I redirect to some place in google drive for example "Colab Notebooks" and you can run everything you want.
I have a Google Colaboratory Notebook for Data Analysis that I want to output as a HTML file as currently not everything loads within the Colab environment such as large Folium Heatmaps. Is it possible to export the notebook as a html file as opposed to the ipynb and py options?
Method using Google Colab only
Download your .ipynb file
You can actually do it using only Google Colab. File -> Download .ipynb
Reupload it so Colab can see it
Click on the Files icon on the far left:
Then Upload to session storage:
Select & upload your .ipynb file you just downloaded.
Get your file's path
then obtain its path (you might need to hit the Refresh button before your file shows up):
Conversion using %%shell
Then, just as in Julio's answer, execute in a Colab cell:
%%shell
jupyter nbconvert --to html /PATH/TO/YOUR/NOTEBOOKFILE.ipynb
The %%shell lets the interpreter know that the following script is interpreted as shell. Don't write anything before %%shell, use a distinct cell for this.
The form of /PATH/TO/YOUR/NOTEBOOKFILE.ipynb will be something like /content/lightaberration3.ipynb.
Your file is ready
Might need to click Refresh again, but your notebook.html will appear in the files, so you can download it:
The great thing about this is that nothing python-related has to be installed on your computer, not conda, not pip, only a browser.
Google Colab doesn't currently have such a feature as a built-in.
Your best route is to first download it through File > Download .ipynb and then use the standard tool for Jupyter Notebook conversion, nbconvert:
jupyter nbconvert --to html notebook.ipynb
If you use an Anaconda Python distribution, nbconvert is most likely already installed. If not, refer to what is described in their install instructions to be able to convert:
pip install nbconvert
# OR
conda install nbconvert
to continue with "Method using only Google Colab"
" %%shell jupyter nbconvert --to html /PATH/TO/YOUR/NOTEBOOKFILE.ipynb" - as given
the following worked for me - type the following in Google Colab
!pip install nbconvert
%shell jupyter nbconvert --to html /content/testfile.ipynb
(instead of using %%shell in Google Colab, use %shell - this way, it worked for me)
Download your notebook and upload it back to the colab
Replace PATH_TO_THE_NOTEBOOK_IN_COLAB in the below command to the location of the reuploaded notebook.
Use this command to download the notebook as html => !jupyter nbconvert --to html PATH_TO_THE_NOTEBOOK_IN_COLAB.ipynb.
I tried the approach above but couldn't get it to work - for small jobs I log onto https://jupyter.org/try , upload the downloaded ipynb file from Google Colab and then I opened the file, from here you will have the functionality in jupyter.org to download as html or whatever other format you require. It took the pain out of trying to get it to work.