pyfda
Python Filter Design Analysis Tool
pyfda is a GUI based tool in Python / Qt for analysing and designing discrete time filters. Fixpoint implementations (for some filter types) can be simulated.
For more info see the Github Repo and the documentation at readthedocs.org.
Prerequisites
- Python versions: 3.7 ... 3.11
- All operating systems, no OS specific requirements.
- Libraries:
- (Py)Qt5
- numpy
- scipy
- matplotlib: 2.1 or higher
Optional libraries:
- docutils for rich text in documentation
- xlwt and / or XlsxWriter for exporting filter coefficients as *.xls(x) files
Installing pyfda
Self-executing archives are available for Windows and OS X at https://github.com/chipmuenk/pyfda/releases which do not require a Python installation. Under Linux, pyfda can be installed as a flatpak.
Otherwise, installation is straight forward: There is only one version of pyfda for all supported operating systems, no compilation is required:
pip
Install from PyPI using
> pip install pyfda
or upgrade using
> pip install pyfda -U
or install locally using
> pip install -e <YOUR_PATH_TO_PYFDA>
where <YOUR_PATH_TO_PYFDA> specifies the path of setup.py without including setup.py.
In this case, you need to have a local copy of the pyfda project, preferrably obtained using git and pip install only creates the start script.
setup.py
You could also download the zip file from Github and extract it to a directory of your choice. Install it either to your <python>/Lib/site-packages subdirectory using
> python setup.py install
or just create a link to where you have copied the python source files (for testing / development) using
> python setup.py develop
Starting pyfda
In any case, the start script pyfdax has been created in <python>/Scripts which should be in your path. So, simply start pyfda using
> pyfdax
For development and debugging, you can also run pyfda using
In [1]: %run -m pyfda.pyfdax # IPython or
> python -m pyfda.pyfdax # plain python interpreter
All individual files from pyfda can be run using e.g.
In [2]: %run -m pyfda.input_widgets.input_pz # IPython or
> python -m pyfda.input_widgets.input_pz # plain python interpreter
Customization
The location of the following two configuration files (copied to user space) can be checked via the tab Files -> About:
- Logging verbosity can be controlled via the file
pyfda_log.conf - Widgets and filters can be enabled / disabled via the file
pyfda.conf. You can also define one or more user directories containing your own widgets and / or filters.
Layout and some default paths can be customized using the file pyfda/pyfda_rc.py, right now you have to edit that file at its original location.
Metadata
Release files for pyfda 0.9.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyfda-0.9.5.tar.gz | 579.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyfda-0.9.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.2 MB
Release files / pyfda-0.9.5.tar.gz
| Download URL | pyfda-0.9.5.tar.gz |
|---|---|
| Size | 579.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / pyfda-0.9.5-py3-none-any.whl
| Download URL | pyfda-0.9.5-py3-none-any.whl |
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| Size | 660.9 kB |
| Tags | Python 3 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.0.1 CPython/3.12.8
|
Provenance
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PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Dec 22, 2024.
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