forked from M-Labs/artiq
36 lines
954 B
Python
36 lines
954 B
Python
from time import sleep
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import numpy as np
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from artiq.experiment import *
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class Histograms(EnvExperiment):
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"""Histograms demo"""
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def build(self):
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pass
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def run(self):
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nbins = 50
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npoints = 20
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bin_boundaries = np.linspace(-10, 30, nbins + 1)
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self.set_dataset("hd_bins", bin_boundaries,
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broadcast=True, save=False)
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xs = np.empty(npoints)
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xs.fill(np.nan)
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xs = self.set_dataset("hd_xs", xs,
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broadcast=True, save=False)
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counts = np.empty((npoints, nbins))
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counts = self.set_dataset("hd_counts", counts,
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broadcast=True, save=False)
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for i in range(npoints):
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histogram, _ = np.histogram(np.random.normal(i, size=1000),
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bin_boundaries)
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counts[i] = histogram
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xs[i] = i % 8
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sleep(0.3)
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