qchart's Introduction

qchart (live) plotting

A simple GUI tool for plotting measurement data (e.g., for live plotting). It runs as a standalone Qt app, and data can be sent to it via a zmq socket, which makes it fairly independent of the tools used to measure.

This is a stripped down version of the work here: https://github.com/data-plottr/plottr/tree/plottr-original It contains only live plotting with the minimal number of useful widgets.

Installation:

Activate whatever virtual environment you like
Navigate to the qchart directory
Install a development version using pip.

pip install -e ./

Done

Usage:

Start the app from your script with qchart.start_listener()
In your working process use DataSender to send data from your client to the plotting tool

Requirements:

python >= 3.6 (f-strings...)
pandas >= 0.22
xarray
numpy
matplotlib
simplejson

qchart's People

Contributors

qchart's Issues

axes selection widget not working correctly

I can change axes but the data does not always update correctly. For example, make a 2D plot then try to select a single axes to make a waterfall plot, switch to the other axis. The axes change appropriately, but the data in the traces does not update.

add examples that do not fall on grid

See if this feature is still working.

single point updates to 2d plot broken

No idea. Adding a chunk is cool though.

last update from client may not appear in live plot

See 2D point-by-point example. Often the last few points are left empty.

handle types better on client side

We should always be sending json lists in the 'values' property of `dataset, even if the list is a single number. Might be possible to make a pydantic model of the payload that handles the types correctly or a json schema or some such thing.