ipython-notebook

I have a similar question to here . I have an IPython notebook, I'd like the output to have centered plots. I've copied the css file and everything as instructed in the above link, and, whilst the plots change style, they don't center on my screen. This might come a bit late but maybe Google brings more people here looking for a solution. We can style the output in the custom.css in the IPython profile and add the following: with (older) IPython .ui-wrapper { margin-left: auto !important; margin-right: auto !important; } After that you just have to reload the page in your browser. The ui

Can I customize the landing page of an iPython notebook server (version 2.3)? I mean that, at the starting page (something like: http://localhost:8888/tree ), I'd like to display Welcome to the i[Py] Notebook of John Doe or modify the existing banner.. Is this possible? You can change the banner logo or replace it with a text using your custom.css. Custom Title To simply change the text add the following lines #ipython_notebook::before{content:"Welcome to my notebook"} #ipython_notebook img{display:none;} Of course some additional styling may be necessary. Custom Banner Logo To change the

I've just done a fresh install of IPython notebook on Windows 7 Professional 64 bit. The steps I took were: Install Python 3.4.1 from http://python.org > pip install ipython[notebook] > pip install pywin numpy pygments nodeenv I can open a notebook fine. However, when I select File > Print Preview or File > Download as HTML I get a 500 server error. The stack trace is: 2014-08-07 09:44:25.431 [NotebookApp] Loaded template full.tpl C:\Python34\lib\site-packages\IPython\nbconvert\filters\markdown.py:78: UserWarning: Node.js 0.9.12 or later wasn't found. Nbconvert will try to use Pandoc instead.

I'm using nbconvert to make a reveal.js slideshow from my notebook. Specifically, I'm running: ipython nbconvert --to slides analysis.ipynb . This creates "analysis.slides.html", and I put "reveal.js" in the same folder. That is, I have: reveal.js ... analysis.ipynb analysis.slides.html However, when opening "analysis.slides.html" in the browser JavaScript console, I get the following: analysis.slides.html:1992 Uncaught ReferenceError: Reveal is not defined analysis.slides.html:2032 Uncaught ReferenceError: Reveal is not defined require.min.js:8 Uncaught Error: Mismatched anonymous define()

I'm trying to run some sample code of the multiprocessing.pool module of python, found in the web. The code is: def square(x): return x * x if __name__ == '__main__': pool = Pool(processes=4) inputs = [0, 1, 2, 3, 4] outputs = pool.map(square, inputs) But when i try to run it, it never finsh the execution and i have to restart the kernel of my IpythonNotebook notebook. What's the problem? KT. As you may read from the answer pointed out by John in the comments, multiprocessing.Pool , in general, should not be expected to work well within an interactive interpreter. To understand why it is the

I'm trying to get a "degree" sign (°) in a matplotlib plot from ipython notebook. When I run ax = plt.gca() ax.set_xlabel("something at 55" + unicode("\xc2", errors='replace')) ax.plot([0.,1.,], [0.,1.]) I get a plot, but instead of the degree sign, I have a strange black square with a question mark. This also happens when I try to savefig the figure to PDF. If I try to run ax = plt.gca() ax.set_xlabel("something at 55°") ax.plot([0.,1.,], [0.,1.]) I get an error (see below). Any idea what I'm doing wrong? --------------------------------------------------------------------------- ValueError

Im trying to introduce IPython notebook in my work. One of the ways I want to do that is by sharing my own work as notebooks with my colleagues so they would be able to see how easy it is to create sophisticated reports and share them. I obviously can't use Notebook viewer since most of our work is confidential. I'm trying to set up notebook viewer locally. I read this question and followed the instructions there, but now that nbconvert is part of IPython the instructions are no longer valid. Can anybody help with that? You have a couple of options: As described above convert to HTML and then

I have the following peace of code from ipywidgets import widgets from IPython.display import display import numpy as np class Test(object): def __init__(self, arraylen): self.a = np.random.randn(arraylen) self.button = widgets.Button(description = 'Show') self.button.on_click(self.show) display(self.button) self.button1 = widgets.Button(description = 'Show1') self.button1.on_click(self.show) display(self.button1) def show(self, ev = None): np.savetxt('test',self.a) self.button.disabled = True test = Test(10) The output is two buttons in a column as shown here: Would it also be possible, to