inflow-haisslab 1.2.22

General python code for analysis pipeline

Inflow

Core package for analysis, and pipelining utilities in the Haiss Lab
Find the documentation for the functions of this package in a searchable website here : https://haisslab.pages.pasteur.fr/analysis-packages/Inflow/

Requirements

Inflow requires python 3.7 or later, and is tested on Windows 10.

Installing

Installing the package via pip typically takes a few seconds. To install, activate your developpement environment :

conda activate <myenvironment>

If you don't have an environment or conda installed, follow these instructions
Then run the Inflow install using :

pip install git+https://gitlab.pasteur.fr/haisslab/analysis-packages/Inflow.git

NB:
This package is still under active development, for the best experience please regularly update the package by running :

pip install --force-reinstall --no-deps -U git+https://gitlab.pasteur.fr/haisslab/analysis-packages/Inflow.git

For dev environment (expect bugs), use this one :

pip install --force-reinstall --no-deps git+https://gitlab.pasteur.fr/haisslab/analysis-packages/Inflow.git@dev

This will force the reinstallation of the package, without the need to do a pip uninstall Inflow first, and without reinstalling the dependancies like numpy etc (hence faster).

For pre-realeases environment (dev after minimal testing, please don't hesitate to report bugs), use this one :

pip install --force-reinstall --no-deps -U git+https://gitlab.pasteur.fr/haisslab/analysis-packages/Inflow.git@pre-releases

Usage

import Inflow
Inflow.load.tdms("mytdmsfile.tdms").