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:

https://plottr.readthedocs.io (work in progress...)

Recent changes:

2020-08-06

Added

• 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

2020-06-05

Added

• Usable version of hdf5 file support. can use the apps/monitr.py script to launch a tool that allows easy (live) plotting.

2020-04-24

Fixed

• 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.

Added

• A few docs and examples, mostly about grid usage.

2020-04-17

Changed

• 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.

Quickstart

Installation

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/inspectr.py [--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.

Requirements:

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