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Data visualization application for data taken with qtlab or QCoDeS

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Installing

Qtplot is compatible with both Python 2 and 3. Using the Anaconda Python distribution (https://www.continuum.io/downloads) is recommended to make installing packages like numpy and scipy easier.

Create a new environment:

conda create --name qtplot python=3.5

Install qtplot:

pip install qtplot

Install other dependencies with:

conda install numpy scipy pandas matplotlib pyqt=4

Executables will be generated in the /Scripts folder of your Python environment with the names qtplot.<exe> and qtplot-console.<exe>. Associate one of these with *.dat files for them to be automatically opened in qtplot.

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Data visualization application for data taken with qtlab or QCoDeS

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