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Small tweaks

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Jonathan Hogg
2020-06-29 19:28:53 +01:00
parent 89e0f23499
commit ca9011011d
1 changed files with 25 additions and 14 deletions
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39
analysis.py
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@ -124,34 +124,45 @@ def analyze_series(series):
waveform.offset = underlying.mean() + offset waveform.offset = underlying.mean() + offset
possibles = characterize_waveform(wave, crossings) possibles = characterize_waveform(wave, crossings)
if possibles: if possibles:
waveform.error, waveform.shape, waveform.duty_cycle = possibles[0] error, shape, duty_cycle = possibles[0]
waveform.error = error
waveform.shape = shape
if duty_cycle is not None:
waveform.duty_cycle = duty_cycle
else:
waveform.shape = 'unknown'
series.waveform = waveform series.waveform = waveform
# %% # %%
from pylab import plot from pylab import figure, plot, show
from utils import DotDict from utils import DotDict
o = 400 o = 400
m = 5 m = 5
n = o * m n = o * m
samples = sine_wave(o) samples = square_wave(o)
samples = np.hstack([samples] * m) * 2 + 5 samples = np.hstack([samples] * m) * 2
samples = np.hstack([samples[100:], samples[:100]]) samples = np.hstack([samples[100:], samples[:100]])
samples += np.random.normal(size=n) * 0.1 samples += np.random.normal(size=n) * 0.1
samples += np.linspace(-0.5, 0.5, n) samples += np.linspace(4.5, 5.5, n)
series = DotDict(samples=samples, sample_rate=1000000) series = DotDict(samples=samples, sample_rate=1000000)
analyze_series(series) analyze_series(series)
print(series.waveform.frequency) if 'waveform' in series:
print(series.waveform.shape) waveform = series.waveform
print(series.waveform.amplitude, series.waveform.offset) if 'duty_cycle' in waveform:
print(f"Found {waveform.frequency:.0f}Hz {waveform.shape} wave, "
f"with duty cycle {waveform.duty_cycle * 100:.0f}%, "
f"amplitude ±{waveform.amplitude:.1f}V and offset {waveform.offset:.1f}V")
else:
print(f"Found {waveform.frequency:.0f}Hz {waveform.shape} wave, "
f"with amplitude ±{waveform.amplitude:.1f}V and offset {waveform.offset:.1f}V")
plot(series.samples) figure(1)
plot(series.samples)
wave = np.hstack([series.waveform.samples[-series.waveform.beginning:]] wave = np.hstack([waveform.samples[-waveform.beginning:]] + [waveform.samples] * waveform.count + [waveform.samples[:-waveform.beginning]])
+ [series.waveform.samples] * series.waveform.count plot(wave * waveform.amplitude + waveform.offset)
+ [series.waveform.samples[:-series.waveform.beginning]]) show()
plot(wave * series.waveform.amplitude + series.waveform.offset)