jupyter-notebook

问题 Is there an easy way of removing blank lines from IPython notebook? I have picked up a habit of blank lines from web development and my fingers tend to hit enter automatically. This makes IPython notebooks less(by taking too much of my 14" screen), not more readable in most cases. I was wondering if there is a way of automatically remove blank lines from the notebooks. In notebooks, I think preferred way of splitting the code is by placing each separate method to a different cell. Is commonly

问题 I am using jupyter notebook with python3 on windows 10. My computer have 8GB RAM and at least 4GB of my RAM is free. But when I want to make a npArray with size of 6000*6000 with this command: np.zeros((6000, 6000), dtype='float64') I got this : Unable to allocate array with shape (6000, 6000) and data type float64 I dont think it could take more then 100MB RAM. I tried to change the number too see what happens. biggest shape i can make is (5000,5000). Do i made a mistake in estimate of RAM i

问题 After much research, I finally managed to get tooltips working in pygal thus: Config = pygal.Config() Config.js = ['http://kozea.github.io/pygal.js/2.0.x/pygal-tooltips.js'] bar_chart = pygal.Bar(Config) # Then create a bar graph object bar_chart.add('Fibonacci', [0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55]) # Add some values bar_chart.render_to_file('bar_chart.svg', force_uri_protocol='https') In the produced .svg, tooltips are now working nicely, but only when the file is opened in a browser .

问题 What Julia functions can output a DataFrame so it is converted into text other than the ones shown below? using DataFrames A = DataFrame(randn(10, 7)); print("\n\n\n", "A = DataFrame(randn(10, 7))") print("\n\n\n","print(A)\n") print(A) print("\n\n\n","show(A)\n") show(A) print("\n\n\n","show(A, true)\n") show(A, true) print("\n\n\n","show(A, false)\n") show(A, false) print("\n\n\n","showall(A)\n") showall(A) print("\n\n\n","showall(A, true)\n") showall(A, true) print("\n\n\n","showall(A,

问题 What Julia functions can output a DataFrame so it is converted into text other than the ones shown below? using DataFrames A = DataFrame(randn(10, 7)); print("\n\n\n", "A = DataFrame(randn(10, 7))") print("\n\n\n","print(A)\n") print(A) print("\n\n\n","show(A)\n") show(A) print("\n\n\n","show(A, true)\n") show(A, true) print("\n\n\n","show(A, false)\n") show(A, false) print("\n\n\n","showall(A)\n") showall(A) print("\n\n\n","showall(A, true)\n") showall(A, true) print("\n\n\n","showall(A,

问题 I have a long running Python loop (used for machine learning), which periodically prints output and displays figures (using matplotlib). When run in Jupyter Notebook, all the text (stdout) is displayed in real-time, but the figures are all queued and not displayed until the entire loop is done. I'd like to see the figures in real-time, on each iteration of the loop. During cell execution, not when the entire cell execution is done. For example, if my code is: for i in range(10): print(i) show

问题 I have a long running Python loop (used for machine learning), which periodically prints output and displays figures (using matplotlib). When run in Jupyter Notebook, all the text (stdout) is displayed in real-time, but the figures are all queued and not displayed until the entire loop is done. I'd like to see the figures in real-time, on each iteration of the loop. During cell execution, not when the entire cell execution is done. For example, if my code is: for i in range(10): print(i) show

问题 I don't know how to make the XGBoost classifier work. I am running the code below on jupyter notebook, and it always generates this message "The kernel appears to have died. It will restart automatically." from xgboost import XGBClassifier model = XGBClassifier() model.fit(X, y) There is no problem with importing the XGBClassifier, but it crashes upon fitting it to my data. X is a 502 by 33 all-numeric dataframe, y is the set of 0 or 1 labels for each row. Does anyone know what could be the

问题 I am using jupyter-cadquery to visualize some 3D models made with CadQuery. When visualizing the models on a Jupyter notebook, everything works as expected. But when trying to embed the widget in an HTML document, it seems the camera, on load, is pointing to (0, 0, 0) , not as expected. Once you interact with the widget, the camera will point to the expected coordinate. Here is the code to reproduce the error and an animation of the mentioned problem (see instructions bellow on how to

问题 I have an assignment for a Deep Learning class, and they provide a Jupyter notebook as a base code, the thing is that after running the data import and reshape, jupyter notebook through a "Memory Error", after some analysis y tried to compile the same code in a normal .py file, and everything runs well. The thing is that I'm required (preferably) to use the Jupyter notebook as the base for development, since is more interactive for the kind of task. <ipython-input-2-846f80a40ce2> in <module>(