How to display full output in Jupyter, not only last result?
I want Jupyter to print all the interactive output without resorting to print, not only the last result. How to do it?
I want Jupyter to print all the interactive output without resorting to print, not only the last result. How to do it?
I have some code in a .ipynb file and got it to the point where I don’t really need the “interactive” feature of IPython Notebook. I would like to just run it straight from a Mac Terminal Command Line.
I need to produce a screencast of an ipython session, and to avoid confusing viewers, I want to disable all warnings emitted by warnings.warn calls from different packages. Is there a way to configure the ipythonrc file to automatically disable all such warnings?
I regularly perform pandas operations on data frames in excess of 15 million or so rows and I’d love to have access to a progress indicator for particular operations.
I’m trying to run a script that launches, amongst other things, a python script. I get a ImportError: No module named …, however, if I launch ipython and import the same module in the same way through the interpreter, the module is accepted.
I am trying to obtain the current NoteBook name when running the IPython notebook. I know I can see it at the top of the notebook. What I am after something like
I am using ipython-notebook a lot at the moment for numerical analysis and plotting of data. In the process of preparing publication quality plots there is a lot of tweaking to get the layout just right, however I can’t get ipython/matplotlib to show me what I will be saving in the browser. Making the process more painful than it should be because I have to keep opening the new output file to check it.
The IPython %timeit magic command does its job well for measuring time required to run some Python code. Now, I want to use something analogous in the Python script. I know about the timeit module, however, it has several disadvantages, for example, how to select the number of runs adaptively? i.e., the default code
I saw this code in someone’s iPython notebook, and I’m very confused as to how this code works. As far as I understood, pd.loc[] is used as a location based indexer where the format is:
I have some Python code example I’d like to share that should do something different if executed in the terminal Python / IPython or in the IPython notebook.