jupyter-notebook

问题 So I am using joblib to parallelize some code and I noticed that I couldn't print things when using it inside a jupyter notebook. I tried using doing the same example in ipython and it worked perfectly. Here is a minimal (not) working example to write in a jupyter notebook cell from joblib import Parallel, delayed Parallel(n_jobs=8)(delayed(print)(i) for i in range(10)) So I am getting the output as [None, None, None, None, None, None, None, None, None, None] but nothing is printed. Actually,

问题 I want to use svmutil functions from https://github.com/Netflix/vmaf/tree/master/libsvm/python in my Jupyter notebook which runs on Google Colaboratory. Running import svmutil gives the following error: ModuleNotFoundError: No module named 'svmutil' How do I install this github repo in colab? 回答1: You'll need to install the library first. Here's a complete example: https://colab.research.google.com/drive/1svYMGnV7HdeqXpN15T5ajxbLijLmBeSm The key bits: # Clone the git repo. !git clone https:/

问题 I got the following problem. After update Anaconda because I got an error to import skimage.io to a project in Jupyter Notebook an even a greater error appear - Dead Kernel. Right now I could not ever start a project because the Jupyter gives the following error is: Copy/paste this URL into your browser when you connect for the first time, to login with a token: http://localhost:8888/? token=aaf85a5e18489792c87cce65d7a53a0263cd5c08cc7248b 6 [I 00:55:13.451 NotebookApp] Accepting one-time

问题 I want to show images var_1.png,...,var_40.png in a 2x3 matrix format inside a Jupyter Notebook. However, I only manage to do it manually: import matplotlib.pyplot as plt import matplotlib.image as mpimg %matplotlib inline img1=mpimg.imread('Variable_8.png') img2=mpimg.imread('Variable_17.png') img3=mpimg.imread('Variable_18.png') ... fig, ((ax1, ax2, ax3), (ax4,ax5,ax6)) = plt.subplots(2, 3, sharex=True, sharey=True) ax1.imshow(img1) ax1.axis('off') ax2.imshow(img2) ax2.axis('off') .... I

问题 I have a ton of training data I need annotated, in order to do so I need to listen through a bunch of sound snippets and note what I hear. I wrote a small script for this in a notebook. My main issue is that IPython display dosent show in loops. As an example: import numpy import IPython.display as ipd sr = 22050# sample rate T = 2.0# seconds t = numpy.linspace(0, T, int(T*sr), endpoint=False)# time variable x = 0.5*numpy.sin(2*numpy.pi*440*t) ipd.Audio(x, rate=sr) will show up with an audio

问题 How can I display a large image with scrollbars inside an IPython notebook output cell? The example below scales down the image to fit into the cell, and width does not have any effect. from IPython.core.display import Image, display display(Image('https://i.ytimg.com/vi/j22DmsZEv30/maxresdefault.jpg', width=1900)) 回答1: Use unconfined=True to disable max-width confinement of the image: from IPython.core.display import Image, display display(Image('https://i.ytimg.com/vi/j22DmsZEv30

问题 Is there a way I can launch a Dash dahsboard using the below line of code in Jupyter notebook? # if __name__ == '__main__': # app.run_server(debug=True) When I try to launch this I get an error. The only way to correct it is to set debug to false. But then the Dashboard does not update automatically when the data feeding the charts is altered. 回答1: EDIT I just found out that a valuable GitHub user published the following library. This is the direct link to the respective repo. See his

问题 I have dataframe with columns from and to.Both are country codes and they show starting country and destination country. +----+---+ |from| to| +----+---+ | TR| tr| | TR| tr| | TR| tr| | TR| gr| | ES| tr| | GR| tr| | CZ| it| | LU| it| | AR| it| | DE| it| | IT| it| | IT| it| | US| it| | GR| fr| Is there a way to get a dataframe that shows the percentage of each destination country per country of origin, with column all the destination country code? the percentage must be out of the total

问题 Using Jupyter notebook, how to have one slider interactively update two independent functions in two figures? There is a link to a similar question without answer here. Using Bokeh Javascript Callback slider power example, I tried adding a second set of variables x and y but keep using the same callback. The graphs do not update anymore. Any suggestions? I also was trying to do the same with Pywidget but did not get anywhere. I would prefer using IPywidget if there is a solution there. The

问题 Using Jupyter notebook, how to have one slider interactively update two independent functions in two figures? There is a link to a similar question without answer here. Using Bokeh Javascript Callback slider power example, I tried adding a second set of variables x and y but keep using the same callback. The graphs do not update anymore. Any suggestions? I also was trying to do the same with Pywidget but did not get anywhere. I would prefer using IPywidget if there is a solution there. The