From e1ba44127e6524498327900c7f59c9b3c6675267 Mon Sep 17 00:00:00 2001 From: "Matthias@Dell" Date: Wed, 19 Apr 2023 21:00:30 +0200 Subject: [PATCH] Normalize transofrm now as class --- k-teng/prepare.py | 26 +++++++++++++++++--------- 1 file changed, 17 insertions(+), 9 deletions(-) diff --git a/k-teng/prepare.py b/k-teng/prepare.py index 93051fe..155414d 100644 --- a/k-teng/prepare.py +++ b/k-teng/prepare.py @@ -94,16 +94,24 @@ def calc_peaks(peaks): return vpeaks -def normalize(a): +class Normalize: """ - normalize so that all values are between 0 and 1 + normalize so that all values are between low and high """ - min_ = np.min(a) - a = a - min_ - max_ = np.max(a) - if max_ != 0: - a = a / max_ - return a + def __init__(self, low=0, high=1): + assert(low < high) + self.low = low + self.high = high + def __call__(self, array): + min_ = np.min(array) + a = a - min_ + max_ = np.max(array) + if max_ != 0: + a = (a / max_) + # now normalized between 0 and 1 + a *= (self.high - self.low) + a -= self.low + return a if __name__ == "__main__": """ @@ -112,7 +120,7 @@ if __name__ == "__main__": """ df = load_dataframe(file) a = df.to_numpy() - vdata = normalize(a[:,2]) + vdata = Normalize(0, 1)(a[:,2]) plt.ion() # vpeaks[0] is the list of the peaks vpeaks = signal.find_peaks(vdata)[0]