I got multiprocessing to work from within a Jupyter notebook on Windows by saving my function in a separate .py file and including that file in my notebook. Example: f.py: def f(name, output): output.put(‘hello {0}’.format(name)) return Code in Jupyter notebook: from multiprocessing import Process, Queue #Having the function definition here results in #AttributeError: Can’t get … Read more
The IPython notebook talks to the kernels over predefined ports. To talk to a remote kernel, you just need to forward the ports to the remote machine as part of the kernel initialisation, the notebook doesn’t care where the kernel is as long as it can talk to it. You could either set up a … Read more
The answer is in this GitHub issue. The key is to ensure that you have the ipywidgets notebook extension enabled using the following command: jupyter nbextension enable –py widgetsnbextension For the old JupyterLab 2.0 you’ll also need to install the JupyterLab extension: jupyter labextension install @jupyter-widgets/jupyterlab-manager For the old JupyterLab 2.0 installing the JupyterLab extension … Read more
As you want to change the figure, instead of creating a new one, may I suggest the following way: Use an interactive backend; %matplotlib notebook Update the line in the plot, instead of drawing new ones. So the code could look something like this: %matplotlib notebook from ipywidgets import * import numpy as np import … Read more
Here’s what worked for me (non conda python): (MacOS, brew version of python. if you are working with system python, you may (will) need prepend each command with sudo) First activate virtualenv. If starting afresh then, e.g., you could use virtualenvwrapper: $ pip install virtualenvwrapper $ mkvirtualenv -p python2 py2env $ workon py2env # This … Read more
This is easy to do using the jupyter-themes package by Kyle Dunovan. You may be able to install it using conda. Otherwise, you will need to use pip. Install it with conda: conda install -c conda-forge jupyterthemes or pip: pip install jupyterthemes You can get the list of available themes with: jt -l So change … Read more
A more elegant solution would be: args, unknown = parser.parse_known_args() instead of args = parser.parse_args()
As has been pointed out by @waitingkuo, index=False is what you need. If you want to keep the nice table layout within your ipython notebook, you can use: from IPython.display import display, HTML display(HTML(df.to_html(index=False)))
You need to change init_notebook_mode call and remove connected=True, if you want to work in offline mode. Such that: # Import the necessaries libraries import plotly.offline as pyo import plotly.graph_objs as go # Set notebook mode to work in offline pyo.init_notebook_mode() # Create traces trace0 = go.Scatter( x=[1, 2, 3, 4], y=[10, 15, 13, 17] … Read more
Try using tqdm.notebook.tqdm instead of tqdm, as outlined here. This could be as simple as changing your import to: from tqdm.notebook import tqdm EDIT: After testing, it seems that tqdm actually works fine in ‘text mode’ in Jupyter notebook. It’s hard to tell because you haven’t provided a minimal example, but it looks like your … Read more