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A tool for live plotting and processing data

Project description

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.

Documentation: (work in progress...)

Recent changes:



  • Entry points for inspectr (plottr-inspectr) and autoplot (plottr-autoplot-ddh5)
  • LICENSE file has been added (no change to license of the code)
  • has been tweeked to ensure that sdist and bdist_wheel packages are generated correctly



  • Usable version of hdf5 file support. can use the apps/ 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.





Plottr is installable from pypi with pip install plottr

To install from source: 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: run plottr-inspectr [--dbpath <path to your .db file>]

As an alternative from the root of the cloned plottr repository, run python apps/ [--dbpath <path to your .db file>]

For basic instructions, check out the Notebook Live plotting qcodes data 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.


  • python >= 3.6 (f-strings...)
  • the usual: numpy, mpl, ...
  • pandas >= 0.22
  • xarray
  • pyqtgraph >= 0.10.0

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