plt.bar(my_dataframe['a'].index, my_dataframe['a'].values) What I wanna do is display both of them using IPython and don't losing the default df output format. The first solution of this link answared my question but don't have this format that I talked about.

I could successfully render the breast_cancer data frame on jupyter notebook and I could successfully convert data tables to static html. However, after convert to static html, the column width were not right and the column names were overlapping to each other. Here are my print screens. Save Notebook Widget State. Download as HTML(.html) It's gone
HoloViz's Panel library DataFrame widget. (I don't believe this one is limited to JupyterLab.) See under 'Display' where it says: "The DataFrame widget renders an table which allows directly editing the contents of the dataframe with any changes being synced with Python. Note that it modifies the pd.DataFrame in place." JupyterLab Data Explorer

Note: By default, the outline will only show Markdown. To show code cells, enable the following setting: Notebook > Outline: Show Code Cells. IntelliSense support in the Jupyter Notebook Editor. The Python Jupyter Notebook Editor window has full IntelliSense – code completions, member lists, quick info for methods, and parameter hints.

No matter what I do (e.g. just calling the dataframe df or print(df) or df[1:nrow(df),] I get vertical dots in the printout skipping rows: There are similar questions on the site about RStudio, and suggestion View(). However, this function is not supported in Jupyter Notebook (specifically, I am using Google Colab).
display(HTML(dataframe.to_html())) This will create a nice table. Unfortunately, this will not work in the spyder. So you can try to adjust the width of the ipython were suggested. But in most cases this will make the output poorly or unreadable. After trying the dataframe methods, I found what appears to be a cropping setting. In Spyder I used
It appears that this behavior is intended to be controlled as much as it can be by display.large_repr:. display.large_repr : 'truncate'/'info' For DataFrames exceeding max_rows/max_cols, the repr (and HTML repr) can show a truncated table (the default from 0.13), or switch to the view from df.info() (the behaviour in earlier versions of pandas).
View dataframe while debugging in VS Code. VSCODE - PYTHON - Pandas DataFrame - Intellisense doesn't show Attributes/methods of the object. Pandas table viewing help in vscode Mac. VSCode terminal does not show all the rows. Pandas on Jupyter Notebook VS Code not displaying outputs properly. Visualize Dataframe in Pandas with VSCode.
Pandas style also support using cmap to colour the cell background in gradient colours. This is very useful when we want to visualise the numeric data in scales. df = pd.DataFrame (np.random.randn (10, 2)) df.style \. .background_gradient (cmap='Blues') So, the background colour is gradient depends on the values.
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    • jupyter notebook display full dataframe