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>”))
Jupyter Notebook and JupyterLab < 3.0 For old Jupyter Notebook interface installed with notebook package and run as jupyter notebook (see the next section for the identical interface installed with nbclassic and run with jupyter nbclassic, and for JupyterLab): Open cmd (or Anaconda Prompt) and run jupyter notebook –generate-config. This writes a file to C:\Users\username\.jupyter\jupyter_notebook_config.py. … Read more
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.
It seems that the problem in Jupyter notebook as in different ide is the design feature. Therefore, we have to write the function (prime_factor) into a different file and import the module. Furthermore, we have to take care of the adjustments. For example, in my case, I have coded the function into a file known … Read more
I don’t think the other answers are working any more, as conda stopped automatically setting environments up as jupyter kernels. You need to manually add kernels for each environment in the following way: source activate myenv python -m ipykernel install –user –name myenv –display-name “Python (myenv)” As documented here:http://ipython.readthedocs.io/en/stable/install/kernel_install.html#kernels-for-different-environments Also see this issue. Addendum: You … Read more
Can you try the following: df[‘income’] = df[‘income’].str.replace(‘,’, ”).astype(float) df[‘year’] = df[‘year’].astype(float) reg.fit(df[[‘year’]], df.income)