A collection of GUIs providing users with easy access to the pwspy library. The main application provided by this package is the PWS Analysis application. You can find a tutorial on using PWS Analysis here
The first step in installation is to install Anaconda on your computer. Once installation
is completed you will be able to install PWSpy_gui
by typing commands into the terminal. On Mac and Linux you can use the standard terminal, on Windows you
should open "Anaconda Prompt".
It is advisable to install PWSpy_gui
into its own "environment" to avoid dependency conflicts.
Create a new environment with the command: conda create -n {environmentName} python=3.8
. You can then make the new environment active in your terminal with conda activate {environmentName}
.
More information here.
PWSpy_gui
is stored online on the "backmanlab" Anaconda Cloud channel. It can be installed from Conda with the command conda install -c conda-forge -c backmanlab pwspy_gui
If you have the built package (.tar.gz file) then you can install the package by pointing conda install
to it.
Install the package with conda install -c file:///{tarGzFileDestination} -c conda-forge pwspy_gui
.
While the pwspy_gui
package has many facets one of the major components is the "PWS Analysis App" GUI which is used to analyze PWS data.
There are multiple ways that you can run this application:
-
On Windows a
PWS Analysis
shortcut should appear in your Start Menu under theAnaconda
category -
Type
PWSAnalysis
into the command prompt for the Conda environment thatpwspy_gui
is installed in. -
In
Anaconda-Navigator
an app namedpwspy_gui
should appear. On Windows a program calledPWSAnalysis
should appear in the start menu.
The first time you run the GUI on a computer you will need to sign into the Google Drive database where calibration data is stored.
First you will need the Conda
package manager. If you have installed Anaconda then Conda is included.
On Windows you will need to use the Anaconda Prompt
rather than the default Windows Command Prompt
.
In addition you will need:
- conda-build
- anaconda-client
- setuptools_scm
These can be installed with the following command conda install conda-build anaconda-client gitpython
Use the python in your base
anaconda environment to run python installScripts\build.py
.
The output will default to buildscripts/conda/build
. You can optionally provide a custom
output path as the first argument to the build.py
script. There will be many
files here but the most important one is build/noarch/pwspy_gui_xxxxxxxxxx.tar.gz
.
This will update the module version in the _version
file and run the conda-build and deploy steps.
The version number can be understood as a.b.c.d-xyz
where a.b.c
are numbers set manually with a Git Tag
, d
is the number of commits since
a.b.c
was tagged, xyz
is the short sha hash for the git commit.
The lab has a Cloud
account at anaconda.org. The username is backmanlab
and the password is UNKNOWN!!!!
(do not put the password here, this git repository is publically available, we prefer not to get hacked).
You can upload the package to the lab's Anaconda Cloud account using anaconda login
to log into the account and then with anaconda upload build/noarch/pwspy_gui_xxxxxxxxxx.tar.gz