This worked for me on Ubuntu 16.04: python2 -m pip install ipykernel python2 -m ipykernel install –user python3 -m pip install ipykernel python3 -m ipykernel install –user Reference to the documentation: Kernels for Python 2 and 3. Installing the IPython kernel – IPython Docs.
If you don’t want to output a Python script every time you save, or you don’t want to restart the IPython kernel: On the command line, you can use nbconvert: $ jupyter nbconvert –to script [YOUR_NOTEBOOK].ipynb As a bit of a hack, you can even call the above command in an IPython notebook by pre-pending … Read more
The default figure size (in inches) is controlled by matplotlib.rcParams[‘figure.figsize’] = [width, height] For example: import matplotlib.pyplot as plt plt.rcParams[‘figure.figsize’] = [10, 5] creates a figure with 10 (width) x 5 (height) inches
I eventually figured it out. Place: import warnings warnings.filterwarnings(‘ignore’) inside ~/.ipython/profile_default/startup/disable-warnings.py. I’m leaving this question and answer for the record in case anyone else comes across the same issue. Quite often it is useful to see a warning once. This can be set by: warnings.filterwarnings(action=’once’)
IPython comes with some automatic reloading magic: %load_ext autoreload %autoreload 2 It will reload all changed modules every time before executing a new line. The way this works is slightly different than dreload. Some caveats apply, type %autoreload? to see what can go wrong. If you want to always enable this settings, modify your IPython … Read more
If you don’t want to change your default settings, and you only want to change the width of the current notebook you’re working on, you can enter the following into a cell: from IPython.display import display, HTML display(HTML(“<style>.container { width:100% !important; }</style>”))
Here is my solution with git. It allows you to just add and commit (and diff) as usual: those operations will not alter your working tree, and at the same time (re)running a notebook will not alter your git history. Although this can probably be adapted to other VCSs, I know it doesn’t satisfy your … Read more
%matplotlib is a magic function in IPython. I’ll quote the relevant documentation here for you to read for convenience: IPython has a set of predefined ‘magic functions’ that you can call with a command line style syntax. There are two kinds of magics, line-oriented and cell-oriented. Line magics are prefixed with the % character and … Read more
I used %matplotlib inline in the first cell of the notebook and it works. I think you should try: %matplotlib inline import matplotlib import numpy as np import matplotlib.pyplot as plt You can also always start all your IPython kernels in inline mode by default by setting the following config options in your config files: … Read more
Quoting from the Conda blog: Having been involved in the python world for so long, we are all aware of pip, easy_install, and virtualenv, but these tools did not meet all of our specific requirements. The main problem is that they are focused around Python, neglecting non-Python library dependencies, such as HDF5, MKL, LLVM, etc., … Read more