Is there a way to customize jupyter notebooks in pdf format ?
I understand using : jupyter nbconvert
_file=./revtex_nocode.tplx myfile.ipynb , and revtex_nocode contains the customizing code.
However is there any standard file available for the same ? if not can some one help me with basic customization in it ?
Related
When using autocomplete in Jupyter Notebooks it is super nice that you can use autocomplete out of the box, but the autocomplete makes too many suggestions that are not relevant. E.g. when autocompleting inside a function, then I only want relevant parameters to be autocompleted, not 60 random python values.
People have suggested using %config Completer.use_jedi = True, but that turns everything off and is even worse.
You can try installing nbextension for suggestions in jupyter notebook.
for more info plz Click here
I am using jupyter notebook on my PC. As the length of my codes is increasing, I want to hide and display some sections of the python code based on the heading markings in Jupyter Notebook like the google colab does.
Is there any python package to install in the environment specifically for this functionality? Similar to the screenshots below.
Hidden Codes based on the headings
[1]: https://i.stack.imgur.com/kQSMG.png
Expanded Python Codes
[2]: https://i.stack.imgur.com/20HNw.png
I'm currently running a default/basic notebook on EMR (Release label: emr-6.1.0, Applications: Spark 3.0.0, Zeppelin 0.9.0, JupyterHub 1.1.0) and i'm having some issues getting the notebook to output a data profiling report in HTML.
I've installed pandas-profiling a variety of ways, using custom bootstrap actions & with the command sc.install_pypi_package("pandas-profiling")
I run into the following issue after trying to generate the report's HTML using IPython. It only produces the object vs the HTML.
I'm also aware that adding %%local can help produce it, like below.
But installing through bootstrap actions/on the notebook does not install from wherever %%local is located. As seen below.
So my first question is, can this profile report be produced without the %%local magic? I know there is also an %%html magic command, but that cannot print out a variable based on my testing, hence why I need IPython.
Second question is, how can pandas-profiling be added to this %%local environment? Should this even be the approach?
Thanks!!
i am working on a project where i have to present the Chart /graph created using matplotlib with python3 into a PDF format. The PDF must carry the data, custom titles along with the chart/graph. PDF can be multiple page report as well. I know that we can store the matplotlib charts in PDF. But i am looking for any solution if we can achieve Data, chart and custom text in PDF format.
Even though the question is not very clear. If I have to do what I understand from your question, I will use Jupyter Notebook and save it as PDF. In this notebook, I will have:
Exploratory analysis of the data (What data scientists call EDA)
Discussion and other mathematical formulas at they may apply to your case
The plots
You can save jupyter notebooks to PDF using nbconvert module in Python.
If you don't have it installed on your computer, do so with this command:
pip install nbconvert
To save your notebook as a PDF, go to the folder containing your Jupyter notebook file and run the following command:
jupyter nbconvert --to pdf MyNotebook.ipynb
I would like to export a jupyter notebook to html or ipynb to display online (e.g. Github). My notebook produces some images with matplotlib, and I would like a static version of these images to be included. I've seen several examples of this, and they all seem to use the inline option:
%matplotlib inline
I've tested my code with this option and the images are saved fine (either in the exported html or using an online viewer). However, when I use the ipympl or notebook backends (to keep some interactive features) the images are not saved. Is it possible to include them in the exported html or ipynb?