This generally works, except that once a new value (from the drop-down) is selected, the already displayed DataFrame does not get cleared: the outputs (DataFrames) end up stacking on top of one another in the Output widget. I do use clear_output but it does not seem to be helping. A full minimal snippet demonstrating the issue can be found below: Feb 18, 2020 at 16:37. @Berlines The code in in the jupyterlab/jupyter-notebook can be anything. You just load a pandas dataframe using "qgrid", then, right click the on the jupyterlab then click on "Create New View for Output". All the steps are given in the answer. Hope that helps. Tips to View your Entire DataFrame in a Jupyter Notebook The default print view for a Pandas DataFrame can be limiting for larger datasets and can get in the way of a thorough review of the data. Pandas Display Options If you have a DataFrame longer than 60 rows, you may have experienced an output like this: Then the output is put into a scrolling box, and the screen height of the scrolling box is controlled by the Notebook > Output Text Line Limit setting: Bug #1: However if I change the setting (e.g. from 300 down to 10 lines limit), the new setting does not take effect until I close the notebook and reopen it. Re-running the cell to generate new So i would like to fix an issue i have when i want to display multiple graph on python from jupyter notebook. Let me show you how it is first with a sceenshot and then how i would like it to be with a second picture : Picture 1) 1889×712 131 KB. As you can see on this first screenshot, i have all my graph in a separated “block” wich i can . 15. If you want to use Text instead of Textarea you can connect a callback via the on_submit method. This gets executed once Enter is hit in the text field. from ipywidgets import interact, widgets from IPython.display import display text = widgets.Text ( value='last', placeholder='Paste ticket description here!', description='String Today, I faced this problem in google Colab and jupyter notebook and I would share a simple solution on MNIST dataset: for index in range(1,6): plt.imshow(train_set.dataset[index], cmap='gray') The output only shows the last image: Because the cell in both IDEs shows only the last image. Thus I added plt.show() to fix this issue: Here is a link to an example notebook showing the display You could use a data uri as described here but it makes debugging your output difficult. The Jupyter Notebook API. The Notebook API allows Visual Studio Code extensions to open files as notebooks, execute notebook code cells, and render notebook outputs in a variety of rich and interactive formats. You may know of popular notebook interfaces like Jupyter Notebook or Google Colab – the Notebook API allows for similar experiences inside Visual Wider display width for ipython/jupyter notebooks from within github. I use the following for wider display in a native IPython / Jupyter notebook: from IPython.core.display import display, HTML display (HTML ("")) Here is the terse documentation on this topic from GitHub:

jupyter notebook display full output