ipympl | Matplotlib Jupyter Integration | Data Visualization library

I am processing x, y, and z data to have a floor map with high and lows. Z being a displacement sensor. I need to plot a topographical map with gradients. I currently have a 3D scatter plot and a contour plot using matplotlib widgets. Those work great, but a wireframe map or topgraphical map would work best. Either 2D or 3D work as well. Thank you in advance!

Current outputs:

3D Scatter

3D Contour

Example of what I am trying to achieve:

Bokeh surface 3D plot

2D plot

I have a website where I document a list of installed pythonic libraries.

For each library, I want to have available:

• The name of the library (obviously)
• A link to the documentation for the library (because documentation is useful)
• A brief description of the library (so people can quickly see what the library does)
• The currently installed version (to stop people asking me "Are you using version x.y?")

My current solution is to use the name as the text of a link, href'd to its documentation, and accept that the version & description are supplementary information, and can be made available to the user using a tool-tip - so they can sit in a title attribute

Example:

I'm trying once more to use interactive matplotlib plots in Jupyter Notebooks for my students. My plan is to use JupyterLab as the plain Notebook interface is not very well liked among students. Here is a two-cell MWE notebook:

I went through the posts that auto-populated based on my question title but couldn't find anything quite aligned to my oddball result.

I'm feeding in a CSV file of a packet capture and collecting the protocols, summing the lengths of each protocol per protocol individually, then dividing by the protocol totals to get the average packet size per protocol.

Using my display commands, I'm able to confirm that the columns protocol and bytes have the same size (There are 18 protocols and 18 averages of byte sizes). I was also able to confirm that the graph is drawing correctly aside from two things that could possibly be looked at as one problem.

1. The first bar for "DNS" starts early and is half cut-off
2. The bars are not aligned over the x-axis ticks

I tried to replicate the issue using the simple Bokeh fruit example in their documentation, but it plotted normally, but that was simply creating a dummy array with x and y.

Off-Center Plot

Here is the code, but bear in mind that the CSV file is not attached and due to IP addresses, I have to refrain from sharing that, but any advice or suggestions if anyone has seen this would be greatly appreciated.

Also, here is the result of temp.head().