PyBerries 0.2.8.post1

Processing of Bacmman measurement tables

PyBerries

PyBerries is a Python package that can be used to import, manipulate and plot data from Bacmman measurement tables.

It relies mainly on Pandas for data handling and Seaborn/Matplotlib for plotting.

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Installation

Anaconda (recommended)

Anaconda will install both Python and Jupyter-lab (used to run Python notebooks) easily. Note however that it requires ~5 Gb free disk space. For a lighter installation procedure, see the next section "Command line install".

• Download Anaconda from the official website
• Run the installer (leave all options as default)
• Start "Anaconda Navigator"
• In Anaconda, launch the "Jupyter Lab" module

Command line install (advanced users)

• Open a terminal (macOS/Linux) or Powershell (Windows)
• Install Python
  • Enter the command python --version
  • If an error or a version < 3.9 is shown, download and install Python from the official website
• After installing, restart your terminal/powershell; both of the above commands should display a version number
• Install Jupyter Lab
  • In a terminal/powershell, run the command python -m pip install jupyterlab
  • After the installation completes, Jupyter Lab can be started using the command jupyter-lab

Getting started

Try downloading and running the tutorial notebook to get acquainted with data import and plotting in PyBerries.

For further details, see the main functionalities documentation, as well as the DatasetPool documentation.

For info and examples on plots, see the preset plots gallery and the Seaborn documentation