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.
https://plottr.readthedocs.io (work in progress...)
- the main repo has now moved to to a different organization: https://github.com/toolsforexperiments/plottr the old repo (https://github.com/data-plottr/plottr) will be kept in sync for a while, but deleted eventually.
In brief: clone the repo, and install using pip install -e
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.
Note: this package is not compatible with the original plottr tool.
You might want to install freshly if you still use the old version.
- python >= 3.6 (f-strings...)
- the usual: numpy, mpl, ...
- pandas >= 0.22
- xarray
- pyqtgraph >= 0.10.0
clone the repo, and install using pip install -e plottr/.