How to Find Peaks and Valleys in Spectral Data with Python?!

🔍 How to Find Peaks and Valleys in Spectral Data | Python Tutorial with SciPy I recently got a great question: “How can I detect the dips—not just peaks—in a spectrum?” In this video, I walk through a simple, effective approach using SciPy’s argrelmin and argrelmax functions to identify valleys and peaks in spectral data. You’ll learn: • 📈 How to detect local maxima and minima in a 1D spectrum • 🧪 When these features matter in chemical and analytical contexts • 🧰 How to visualize and validate detected points using matplotlib • 🧼 Tips for smoothing or filtering noisy spectra before analysis Whether you’re working in analytical chemistry, materials science, or spectral imaging, this technique will help you extract meaningful features from your data. ⸻ 🔔 Subscribe for more Python tutorials tailored for scientists, chemists, and analytical thinkers. #spectralanalysis #scipy #pythonforchemists #argrelmin #argrelmax #spectroscopy