The libraryfindpeaks
aims to detect peaks in a 1-dimensional vector and 2-dimensional arrays (images) without making any assumption on the peak shape or baseline noise. To make sure that peaks can be detected across global and local heights, and in noisy data, multiple pre-processing and denoising methods are implemented.
⭐️ Star this repo if you like it ⭐️
pip install findpeaks
fromfindpeaksimportfindpeaks
On thedocumentation pagesyou can find detailed information about the working of thefindpeaks
with many examples.
- Example: Find peaks and valleys in stockmarkets (Bitcoin)
- Example: Find peaks and valleys in stockmarkets (Facebook)
- https://github /erdogant/findpeaks
- https://github /Anaxilaus/peakdetect
- https:// sthu.org/blog/13-perstopology-peakdetection/index.html
- All kinds of contributions are welcome!
Please citefindpeaks
in your publications if this is useful for your research. See column right for citation information.