xdata | Extended ActionScript3 ByteArray API for JavaScript

I wrote GUI using PySide2, numpy and matplotlib which works without any problm without problem on MacOS 11.2.3. However I get an error when running the code on Ubuntu 20.4 and The code works

I made a GUI using PySide2 and matplotlib. The goal is click on an image and store the coordinate of the clicks in a csv. After launching the application on Ubuntu and having clicked on the "button" button, I get an error message (provided after the code). It seems that under the Linux, the code is being run until line 91 (although no clicks where made on the image yet and therefore, the dataframe to store them is obviously empty) while on MacOS, the interpreter has stopped at line 76 waiting for the clicks of the user (on MacOS the picture has launched and there is nothing on the terminal)

Here is the code:

The snapping cursor when plotted starts at (0,0) making my graph very small.

It's doing this

Instead of this

I think that the code is made so that initially the cross hair starts at (0,0), but I don't know how to change that.

The code for the Snapping Cursor (link here):

Here's some minimal code:

I just began learning python and interactive plotting, so any help is welcome.

The purpose of this code is to click on one of the ten buttons to choose a value between -5 and 5 and then display this value by clicking anywhere on the main axis to then generate an electric field map from these points. The problem is that when I click on any button, a dot is plotted in the middle of the graph. If i understood correctly what was happening, the onclick function interprets the axis of each button as a part of the main axis. Could someone help me solve this problem please?

I am learning how to use click events to trigger specific actions in matplotlib.

In my reproductible example, I would like:

• task1 : drag marker at a different position when clicking/dragging them [this is done]
• task2 : add markers in a plot when double clicking on it with the left mouse button
• task3 : cancel the previous click action (add marker or drag marker) when double clicking with the right mouse button

These posts Matplotlib draggable data marker and Matplotlib drag overlapping points interactively were very useful to implement the draggable data and I think it is working well in my example.

I think in the code below I should be close to implementing the 'add marker' events but something is not right when I update the data of the artist as the new markers don't appear on the plot.

I don't know what is the best way to implement this one... I think the best way would be to always keep in memory one copy of the plot before a click event is triggered and restore this copy if a double click event (with the right mouse button) is triggered after a click event (= adding marker or dragging the marker somewhere else)

I am using the script below:

So I have a struct called stf with multiple fields; each field is a vector. I tried using the Matio library to get reach for those variables, but all I get is one variable, namely the struct stf. As the stf struct has 4 fields, I get 4 double variables. But how do I access the fields themselves? I want to store each of those fields in a vector in my C++ code.

For better understanding, here's my code:

I am using below generic xslt to convert xml into json , but few values are missing under first array attributes. Expectation is to use make ns1:Value as JSON array even if we get single xml element Here I have mentioned sample xml and json messages. XSLT code:

1. I am fetching data from an endpoint

2. I display the data in a highchart

3. There are several indicators that can be selected. For each of them another yAxis is added below the main one.

4. My series data are of this format :

   ...

Can't make correct linear extrapolation. Here is the graph.

Here is the graph

It is clear that the extrapolation should decrease, because there are points on the left at the top, and on the right, everything is at the bottom, and there are many of them. Sample data.