Here is a signal analysis package GUI written using Tkinter: vibrationdata_gui_python.zip
It is compatible with Python versions 2.7 to 3.3, and hopefully future 3.x versions.
vibrationdata.py is the main script.
The remaining scripts are supporting functions.
These scripts demonstrate the use of multiple windows.
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The following signal analysis functions are currently available:
Statistics
Trend Removal & Scaling
Butterworth Filter
Bessel Filter
Fourier Transform
Fast Fourier Transform (FFT)
Waterfall FFT
Power Spectral Density (PSD)
SDOF Response to Base Input
Shock Response Spectrum (SRS)
Rainflow Cycle Counting
Differentiate Time History
Integrate Time History
Autocorrelation
Cross-correlation
Cepstrum & Auto Cepstrum
Sound Pressure Level (SPL)
The following PSD functions are also available:
Overall GRMS
SDOF Response to Base Input PSD
Vibration Response Spectrum (VRS)
The following miscellaneous functions are also available:
Sine Amplitude Conversion
SDOF Response: Peak Sigma for Random Base Input
SDOF Response to Classical Pulse Base Input
More will be added in future revisions…
See also Vibrationdata Python Blog
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Python Tip from Brian Hawkins for numpy arrays.
a = b merely creates a new reference to b. a[:] = b means “set all elements of a equal to those of b”. The difference is important because numpy arrays are mutable types.
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– Tom Irvine
Pingback: Webinar Unit 1 – Natural Frequencies | Vibrationdata
Pingback: Webinar Unit 2 Sine Vibration | Vibrationdata
Pingback: Webinar 8 – Waterfall FFT | Vibrationdata
Pingback: Webinar Special Topic – Sound File Processing | Vibrationdata
Pingback: Webinars 9 & 10 – White Noise FFT, Sample Rate & Aliasing | Vibrationdata
Pingback: Webinar 11 – Power Spectral Density | Vibrationdata
Pingback: Webinar 12 – Power Spectral Density Functions of Measured Data | Vibrationdata
Pingback: Webinar 13 – SDOF Response to Power Spectral Density Base Input | Vibrationdata
Pingback: Webinar 14 – Synthesizing a Time History to Satisfy a PSD Specification | Vibrationdata
Pingback: Webinar 15 – SDOF Response to Base Input in the Frequency Domain | Vibrationdata
Pingback: Webinar 16 – Vibration Response Spectrum | Vibrationdata
Pingback: Webinar 17 – SDOF Response to Applied Force | Vibrationdata
Pingback: Webinar 18 – Force Vibration Response Spectrum | Vibrationdata
Pingback: Webinar 19 – Digital Filtering | Vibrationdata
Pingback: Webinar 20 – Digital Filtering, Part 2 | Vibrationdata
thank you very much for all explanations. it helps me a lot!
Pingback: Introduction | vibrationdatapython
Pingback: Vibrationdata Matlab Signal Analysis & Structural Dynamics Package | Vibrationdata
Pingback: Webinar 25 – Pyrotechnic Shock | Vibrationdata
Pingback: Webinar 22 – Integration and Differentiation of Time Histories & Spectral Functions | Vibrationdata
As a professional in dynamics domain-I have been following your website for past 7 years and I have learnt a lot from it.