jupyter-notebook

This question must've been asked before, but I couldn't find a right answer. I would like to run the Jupyter notebook from command line and save the result to certain files. I got this running, jupyter nbconvert --to python --execute mynotebook.ipynb >> mylog.out.log 2>&1 This command executes mynotebook.ipynb properly, but in the log file, it only contains 3 lines if the execution is successful. [NbConvertApp] Converting notebook mynotebook.ipynb to python [NbConvertApp] Executing notebook with kernel: python2 [NbConvertApp] Writing 1931 bytes to mynotebook.ipynb.py If the notebook raises

I have a Jupyter notebook, I want to use local python functions from other folders in my computer. When I do import to these functions I get this error: "ModuleNotFoundError: No module named 'xxxxxxxxxxxxx' I'm using anaconda as the python interpreter You can add a path using sys to your local module/python file. import sys sys.path.append("/path/to/file/") # path contains python_file.py import python_file If you want a more permanent solution by adding module to Anaconda path, see previous answer from cord-kaldemeyer https://stackoverflow.com/a/37008663/7019148 . Content copied below for

Jupyter notebook's autocomplete seems working, but somehow it will show duplicate options for the method. For example below: For each possible options, drop down menu will show 2 identical choices. Why this happen and how to fix it? Relevant Github issue: https://github.com/ipython/ipython/pull/10969 This should be fixed in Ipython 6.3 release (track milestone completion here: https://github.com/ipython/ipython/milestone/48 ) 来源： https://stackoverflow.com/questions/48009983/jupyter-notebook-autocomplete-showing-duplicate-options

I have been trying to connect Spyder to a docker container running on a remote server and failing time and again. Here is a quick diagram of what I am trying to achieve: Currently I am launching the docker container on the remote machine through ssh with docker run --runtime=nvidia -it --rm --shm-size=2g -v /home/timo/storage:/storage -v /etc/passwd:/etc/passwd -v /etc/group:/etc/group --ulimit memlock=-1 -p 8888:8888 --ipc=host ufoym/deepo:all-jupyter so I am forwarding on port 8888. Then inside the docker container I am running jupyter notebook --no-browser --ip=0.0.0.0 --port=8888 --allow

I am trying to make several interactive plots with the ipywidgets library in Jupyter Notebook. I face however one problem: I try to make multiple plots change when one single input widget changes, for example a slider. In the added MWE this is illustrated with a sine and cosine function that both depend on a single input widget that sets the amplitude of both the sine and the cosine function. Thus, if the value of the input slider is set at the value 2, the amplitude of both the sine and cosine function must inmediately follow suit. If you would run the code yourself then you will see that

I am trying to use widget events to make an interactive graph. %matplotlib inline import numpy as np import matplotlib.pyplot as plt import ipywidgets as widgets def myplot(n): x = np.linspace(-5, 5, 30) y = x**n fig, ax = plt.subplots(nrows=1, ncols=1); ax.plot(x, y) ax.set_xlabel('x') ax.set_ylabel('y') plt.show() Interact works as expected (it changes the figure interactively): widgets.interact(myplot, n=(0,5)); However the following snippet creates several figures that appear below as you interact with the slider. n_widget = widgets.IntSlider( value=2, min=0, max=5) def on_value_change