Develop Reference

Is there a way to draw a radar chart with Altair in python?

I have been using the Altair python API for a Data Visualization project, and everything went smoothly until I wanted to add a radar chart to my app.
I could not find anything on Altair's python API documentation about radar charts, however there seems to be an entry about that in Altair's core documentation but I couldn't access it.
I saw that plotly had that feature but I would really have liked using only one plotting framework...
Is there really no way to make a radar chart with Altair in python ?

This is currently not implemented in VegaLite, you can see the discussion in these two issues and open a new one if you think there is a good case to be made for radar charts:
https://github.com/vega/vega-lite/issues/3805
https://github.com/vega/vega-lite/issues/408
In Altair you might be able to hack something together by layering multiple mark_arc charts with a fillOpacity=0 and a colored stroke (although I don't think this will work since I can't see any way to get right of the lines going towards the middle.

Combining two .T.plots into one graph

So looking around i've seen a few posts about combining graphs online,but none seem to apply to the graphs im using. while i'm happy to use matplotlib I can't seem to get my code to work in that while it does work in panda.
df = pd.read_excel (r'FILE-Location', index_col='PT: TD: BP')
df.iloc[1:2].T.plot()
df.iloc[2:3].T.plot()
These are the two seperate plots I wish to plot onto the same graph. I know it's a weird request and I could very easily combine them by making it [1:3] however I wish to keep them seperate as I plan to have them as options on tkinter, in which you can check a box of which lines you would like displayed, in order to do this I have to keep them seperate.
Thanks for any help solving this.
Edit: thanks for linking a similiar post, I tested the methods given there and they all seemed to simply plot into four seperate graphs within the same figure, while im looking for all four overlayed onto the same graph.

Any Interactive way to manipulate plot data using python ?

Is there any way using python to edit/manipulate a data interactively? That is I want to plot the data and edit the data by dragging the data points in plot by mouse. Is it possible to do this in python?
I want something like this manipulate-chart-data-with-mouse.

I would suggest using dash.
This link gives an example of making an editable plot similar to your requirements.

How to draw a graph that can indicate the values when the mouse moves to some part of the graph in python and put it on the web page?

I'm writing a web interface for a database of genes values of some experiments with CGI in Python and I want to draw a graph for the data queried. I'm using matplotlib.pyplot, draw a graph, save it, and perform it on the web page. But usually there are many experiments queried hence there are a lot of values. Sometimes I want to know which experiment does one value belong to because it's a big value, whereas it's hard to identify because the picture is small in size. The names of the experiments are long strings so that it will mess the x axis if I put all the experiment names on the x axis.
So I wonder if there is a way to draw a graph that can interact with users, i.e. if I point my mouse to some part on the graph, there would be one small window appears and tells me the exact value and what is the experiment name here. And the most important is, I can use this function when I put the graph on the web page.
Thank you.

What you want is basically D3.js rendering of your plots. As far as I know, there are currently three great ways of achieving this, all under rapid development:
MPLD3 for creating graphs with Matplotlib and serving them as interactive web graphics (see examples in Jake's blog post).
Plotly where you can either generate the plots directly via Plotly or from Matplotlib figures (e.g. using matplotlylib) and have them served by Plotly.
Bokeh if you do not mind moving away from Matplotlib.

How do I extract the GUI plotting part of this existing FOSS app (itrade)

I have recently downloaded itrade, and so far I have been unable to get it to run (dependency on wxaddons amongst other things). Also, the project seems to have been disbanded since 2008.
Last but not the least, the project contains a lot of functionality which I just don't need.
All I require is the functionality to produce a graph similar to that shown on the Journalier tab in the image below; and to be honest, I don't even need all of the additional indicators shown in the image. I will be happy enough with the (1st) top chart and the (2nd) midle sub chart, without all the indicators.
I have had a look at the code, and since I am not familiar with wxPython etc, I am finding it difficult to locate the code that is responsible for producing the image below.
I'd be grateful if anyone with either wxPython or itrade experience could outline the steps needed (or explicitly state how) to extract only the section of the code that produces the image below. The objective being that I can read in data from a CSV file, and pass it to the new script, to display a GUI plot similar to the one shown below.

If you really have to do this, this would be my approach:
Find the code that produces these tabs
Find the code that produces the visual graph for the Journalier tab
Find the code where the data is produced that is displayed in the graph
Find the code that passes the data to the graph and how it is processed before being displayed
Extract the necessary pieces of logic to produce and process the data
Use a plotting library to create the graph; it's easier to hook a plotting library into your application than to try and integrate this particular piece of visual code. Especially if you don't need most of the visual indicators.