README.md

Labmate. The mate that simplifies data management in your lab.

This library facilitates the clear division of data acquisition from analysis. It provides robust tools for efficient data management and includes features to ensure a further use of the saved data.

Install

pip install labmate

Installation in dev mode

pip install -e .[dev] or python setup.py develop

Usage

Setup:

from labmate.acquisition_notebook import AcquisitionAnalysisManager
aqm = AcquisitionAnalysisManager("path/to/database")

Example of an acquisition cell. The variables x and y, along with the acquisition cell code and additional parameters that can be set, will be saved inside an h5 file.

aqm.acquisition_cell("your_experiment_name")
...
aqm.save_acquisition(x=x, y=y)

Example of an analysis cell. You cannot directly use the x or y variables, as you would not be able to open them afterwards. Therefore, whenever you use variables inside an analysis cell, retrieve them from aqm.data.

aqm.analysis_cell()

data = aqm.data
fig, ax = plt.subplots(1, 1)
ax.plot(data.x, data.y)

aqm.save_fig(fig)

You can find this example here.

More usage

To see more look at the documentation