I just extracted a .csv file from a scope, which shows how a signal changes in the time duration of 6 seconds. Problem is that I can't come up with a proper way of plotting this signal, without things getting mushed together.
Mushed together like this:
The .csv file is here.
The signal goes through four stages, which I want to show with the plot, without it being to mushed together? How do I plot it?
More info about the signal:
The signal is a PWM signal that changes frequency. Either plotting the PWM signal vs. time, or the frequency of the PWM signal vs time, would be plot representation I would be /seeking for.
As a rudimentary analysis, you could do the following using a
deque to process a sliding window of values:
from collections import deque import csv import matplotlib import matplotlib.pyplot as plt maxlen = 20 window = deque(maxlen=maxlen) with open('12a6-data_extracted_2.csv') as f_input: csv_input = csv.reader(f_input, skipinitialspace=True) header = next(csv_input) freq =  x =  for v1, v2 in csv_input: v1 = float(v1) window.append(v1) if len(window) == maxlen: x.append(v1) freq.append(maxlen / ((window[-1] - window))) plt.plot(x, freq) plt.show()
This would give you an output looking like: