1 Answer. If you were using the typical way to view a dataframe in Jupyter (see my puzzelment about your screenshot in my comments to your original post) it would be things like this: with pd.option_context ('display.max_rows', None, 'display.max_columns', None): display (df) (Note that will work with the text-based viewing, too. see the pandas docs on options and settings. You should be setting display.width not display.max_columns. From the docs: display.max_columns (default 0 or 20): max_rows and max_columns are used in repr () methods to decide if to_string () or info () is used to render an object to a string. In case Python/IPython is running in a terminal this is 1. The explanation is that the last line of a Jupyter cell is special (given default settings). It tries to display the return value of that item, see here. In your case, barh.bar_label (visit_count_barh.containers [0]) is returning a list of the information about the labels. And that accounts for the red text your circles. 12. The answer is. from IPython.core.interactiveshell import InteractiveShell InteractiveShell.ast_node_interactivity = "all". Type that on a cell, run it, and from then on each command will display its own output. source. If you don't want to see the output of a particular command, just end it with ";" source. The Code for aligning the plots at center is shown below, by using this Code Snippet all the plots can be centered in the Jupyter Notebook. from IPython.core.display import HTML as Center Center(""" """) As of version 4, plotly renderers know about Colab, so the following is sufficient to display a figure in both Colab and Jupyter (and other notebooks like Kaggle, Azure, nteract): import plotly.graph_objects as go fig = go.Figure ( go.Scatter (x= [1,2,3], y= [1,3,2] ) ) fig.show () If I choose text/plain as the renderer - I obviously get plain text that is useless and uninteractive. (Like in the first output in the screenshot) If I choose the Jupyter IPyWidget Renderer - I get an empty output. VS Code - Screenshot of the menu (allows choosing one of the two renderers) Here's the code of the problematic cell: 7 Answers. Here is a solution (following this ). from ipywidgets import IntProgress from IPython.display import display import time max_count = 100 f = IntProgress (min=0, max=max_count) # instantiate the bar display (f) # display the bar count = 0 while count <= max_count: f.value += 1 # signal to increment the progress bar time.sleep (.1 eHfi.

jupyter notebook display full output