Created
March 4, 2018 17:08
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#!/usr/bin/env python3 | |
import matplotlib as mp | |
import matplotlib.pyplot as plt | |
import numpy as np | |
import sys | |
import peakutils as pu | |
from scipy import signal | |
# Read trace input file | |
c = np.fromfile(sys.argv[1], np.int8) | |
# Calculate mean | |
y_mean = [np.mean(c)]*len(c) | |
# Remove annoying first spike | |
c_trim = c[np.argmax(c > y_mean):] | |
# Get local minima | |
#wut = pu.indexes(c_trim, thres=0.9, min_dist=1000) | |
#wut = np.asarray(map(lambda i: c_trim[i], wut)) | |
wut = signal.argrelmax(c_trim) | |
print(wut) | |
# Get local maxima | |
# Plot graph | |
fig,graph = plt.subplots() | |
data_line = graph.plot(c_trim, label='Trace Data') | |
mean_line = graph.plot(y_mean, label='Mean', linestyle='--') | |
wut_line = graph.plot(wut, label='Wut', linestyle='--', color='red') | |
plt.show() |
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