33 lines
887 B
Python
33 lines
887 B
Python
import matplotlib.pyplot as plt
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import numpy as np
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from IPython import embed
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time = np.arange(0.,10., 0.001)
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x = np.random.randn(len(time))
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f = np.ones(300)/300
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x = np.convolve(x, f, mode='same')
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selection = x[(time > 5.) & (time < 6.)]
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fig = plt.figure()
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fig.set_facecolor("white")
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fig.set_size_inches(5.5, 2.5)
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ax = fig.add_subplot(111)
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ax.plot(time, x, label="data", lw=.5)
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ax.plot(time[(time > 5.) & (time < 6.)], selection, color='r', lw=0.5, label="selection")
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ax.spines["right"].set_visible(False)
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ax.spines["top"].set_visible(False)
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ax.yaxis.set_ticks_position('left')
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ax.xaxis.set_ticks_position('bottom')
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ax.xaxis.linewidth=1.5
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ax.yaxis.linewidth=1.5
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ax.tick_params(direction="out", width=1.25)
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ax.tick_params(direction="out", width=1.25)
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ax.set_xlabel("time [s]")
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ax.set_ylabel("intensity")
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ax.legend(fontsize=8)
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fig.tight_layout()
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fig.savefig("logicalIndexingTime.pdf")
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