jupyter-lab

问题 When shell commands are run within a Jupyter Notebook Python Cell , like this: output = ! some-shell-command each line emitted to the standard output ( stdout ) is captured in a list like IPython data-structure called a SList . For instance: output = !echo -e 'line1\nline2\nline3' print(output) # A IPython SList data-structure. ['line1', 'line2', 'line3'] Sometimes, however, you want to preserve the original string output format, without tokenization into a list, like this: print(output)

问题 Need to run multiple single-factor (univariate) regression models in python between a column in a dataframe and several other columns in the same dataframe - so based on the image, i want to run regression models between x1 & dep, x2 & dep and so on and so forth Want to output - beta, intercept, R-sq, p-value, SSE, AIC, BIC, Normality test of residuals etc 回答1: There are two options you can use here. One is the popular scikit-learn library. It is used as follows from sklearn.linear_model

问题 Hello I am using jupyter-lab with the jupytext extension. This extension allows you to --sync different format so that you can edit say a Rmd file that will automatically be converted to ipynb This ipynb file is loaded in jupyter To update the file opened in jupyter I have to click on "save", I then get the following message I then have to click on revert to update from disk. Is there a way so that the file on disk is automatically "reloaded" each time it changed or say every second and that

问题 I am trying to create a sort of survey using Jupyter widgets. As a bare-bone example, I would like to ask the user if he likes a kind of fruit in a list, let him check yes/no in a RadioButtons widget, let him submit his answer, and then ask him if he likes the next fruit. I would expect something like this: Do you like apples? * yes * no Submit After pressing Submit , the apples string would be substituted by the next fruit in the list: Do you like oranges? * yes * no Submit What I am getting

问题 I have a module (tqdm) that I need to import differently depending on whether I'm running my .ipynb in a jupyter notebook or jupyter lab environment. Is there way that I can determine this in python? For example: if <jupyter notebook>: from tqdm import tqdm_notebook as tqdm elif <jupyter lab>: from tqdm import tqdm else: print("Not in jupyter environment.") 回答1: # either: from tqdm.autonotebook import tqdm # or to suppress the warning: from tqdm.auto import tqdm 来源： https://stackoverflow.com

问题 I have a module (tqdm) that I need to import differently depending on whether I'm running my .ipynb in a jupyter notebook or jupyter lab environment. Is there way that I can determine this in python? For example: if <jupyter notebook>: from tqdm import tqdm_notebook as tqdm elif <jupyter lab>: from tqdm import tqdm else: print("Not in jupyter environment.") 回答1: # either: from tqdm.autonotebook import tqdm # or to suppress the warning: from tqdm.auto import tqdm 来源： https://stackoverflow.com

问题 I have a module (tqdm) that I need to import differently depending on whether I'm running my .ipynb in a jupyter notebook or jupyter lab environment. Is there way that I can determine this in python? For example: if <jupyter notebook>: from tqdm import tqdm_notebook as tqdm elif <jupyter lab>: from tqdm import tqdm else: print("Not in jupyter environment.") 回答1: # either: from tqdm.autonotebook import tqdm # or to suppress the warning: from tqdm.auto import tqdm 来源： https://stackoverflow.com

问题 In the Jupyter Notebook I could use the following command to automatically execute all cells below the current cell. from IPython.display import Javascript display(Javascript('IPython.notebook.execute_cells_below()')) However, this doesn't seem to work with JupyterLab. How can I make this work for JupyterLab? (I want to automatically execute all cells below after a button click occured. The original code for this was posted here: IPython - Run all cells below from a widget) 回答1: It is built

问题 Pressing tab each time you want to automcomplete seems time-consuming. Ideally, you just type in the first couple of letters and you get a drop down list without pressing tab. In Jupyter notebook, there were some extensions that you could install to get this functionality. https://github.com/ipython-contrib/jupyter_contrib_nbextensions Is it possible to get this on JupyterLab? Thanks 回答1: The jupyterlab-lsp extension offers this as an experimental opt-in feature. It requires JupyterLab 2.2,

问题 Pressing tab each time you want to automcomplete seems time-consuming. Ideally, you just type in the first couple of letters and you get a drop down list without pressing tab. In Jupyter notebook, there were some extensions that you could install to get this functionality. https://github.com/ipython-contrib/jupyter_contrib_nbextensions Is it possible to get this on JupyterLab? Thanks 回答1: The jupyterlab-lsp extension offers this as an experimental opt-in feature. It requires JupyterLab 2.2,