pyDySP 0.1.3

Python Dynamic Signal Processing

pyDySP

Dynamic Signal Processing

Information

Python classes are provided to process laboratory data from the Shaking Table experimental facilities at the University of Bristol.

Installation

Using pip

PyDySP is available via pip and can be installed with:

pip install pydysp

If you are using a virtual environment and want to also use a Jupyter notebook, make sure you also install ipykernel with:

pip install ipykernel

Github clone

You can clone the source code using:

git clone https://github.com/dkaramitros/pyDySP

Manual download

You can also find the source code under releases, including example jupyter notebooks. You can download the code manually, extract in your working subfolder, and use it directly.

Instructions

The package pyDySP includes two classes:

• The Test class provides methods to add, manage, and plot data from multiple channels. Transfer functions can also be produced and analyzed.

• The Channel class provides methods for signal processing, including baseline correction, filtering, and trimming. Plotting methods are also provided.

Detailed documentation on the available class methods is available here

To help with the use of the software, Example Jupyter notebooks are also provided here.