amino | functional data structures and utilities for python | Functional Programming library

In python you can use the Regex module (re):

If I understood your problem well, you can get it done by using 'input' function of python. This will enable you to give input from the CLI. Below is the modifies code.

Hope this helps you. Also if you want to avoid small/caps hedache for the input, you can use .upper().

Though its not required for this question.

For a stacked barplot via pandas, each of the columns will be converted to a layer of bars. The index of the dataframe will be used as the x-axis.

In the given dataframe, you seem to want the columns for the x-axis. Using .T to transpose the dataframe (exchanging rows and columns), will help. First, you'll need to set the amino acids as index.

You can add textposition = "none" to each trace so that it is only used in the tooltip.

Edit: Using hovertext instead of text and textposition = "none" (also see this related answer)

Add to the end of your string in the hovertemplate field. For example, hovertemplate = "Chemical Name: %{x}
Available Amount: %{y}
Department: %{text}"

Just remove the concatenation (c) in group_by

One option would be to aggregate your data before plotting:

plotly doesn't understand when back ticks are surrounding the variable name that it's still a column in the data. (With regard to the hovertext, specifically.) There are a few ways to get around this. Since you're still using the x and y of each trace, you can use hovertemplate instead.

updated

After I posted this answer I noticed that 2500 looked the same size as 4000 and that's not quite right. From there I recalled that plotly won't aggregate the totals. You can aggregate before or during, but it won't automatically sum the values.

Also, the function aggregate won't accept variable names in back ticks, either.

I've updated the code here to aggregate the totals so that your hovertext shows the total by group, not individual layers as you move your mouse down the column.

I added x and y labels in the call to layout, because the backticks were in the graph.