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...)
- Entry points for inspectr (plottr-inspectr) and autoplot (plottr-autoplot-ddh5)
- LICENSE file has been added (no change to license of the code)
- setup.py has been tweeked to ensure that sdist and bdist_wheel packages are generated correctly
- Usable version of hdf5 file support. can use the apps/monitr.py script to launch a tool that allows easy (live) plotting.
- there were several issues/annoyances that caused (minor) issues with grid handling and plotting in rare-ish circumstances. Most of them should be fixed now.
- A few docs and examples, mostly about grid usage.
- 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.
Plottr is installable from pypi with pip install plottr
To install from source: 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: run plottr-inspectr [--dbpath <path to your .db file>]
As an alternative 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