plottr: modular data plotting and processing
A framework for inspecting data, based on flowcharts from pyqtgraph. plottr's main aim is to allow the user to define custom data processing flows and plotting. A particular use case is data filtering and plotting.
Quickstart
Installation
In brief: clone the repo, and install using pip install -e
inspectr: QCoDeS dataset inspection and (live) plotting
You can use the inspectr tool to get a simple overview over QCoDeS database
files, and plot datasets contained in the database.
To use: from the root of the cloned plottr repository, run python apps/inspectr.py [--dbpath <path to your .db file>]
For basic instructions, check out the Notebook Live plotting qcodes data under /doc/examples.
Live plotting using qcodes subscribers
You might have read this in the qcodes documentation: http://qcodes.github.io/Qcodes/examples/plotting/live_plotting.html
In the most recent version of plottr, this way of live plotting does not actually work anymore;
see the example notebook for how it actually works :)
Interactive usage
For now, check out the Notebook Interactive data inspection under /doc/examples/.
Some notes on installing
Note: this package is not compatible with the original plottr tool.
You might want to install freshly if you still use the old version.
Requirements:
- python >= 3.6 (f-strings...)
- the usual: numpy, mpl, ...
- pandas >= 0.22
- xarray
- pyqtgraph >= 0.10.0
python package
clone the repo, and install using pip install -e plottr/.
Documentation
Docs are currently work in progress. You can find it here (still sparse, though!): https://plottr.readthedocs.io
If you're looking for the 'original' plottr package...
It's in the branch plottr-original (also take a look at the "releases" tab on this repo)