mirror of
https://github.com/ra3xdh/qucs_s
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27 lines
717 B
Python
27 lines
717 B
Python
import numpy as np
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import matplotlib.pyplot as plt
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import warnings
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from parse_result import QucsDataset
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warnings.simplefilter("ignore", np.exceptions.ComplexWarning)
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# to create the dat.ngspice file to load with:
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# load the file rc_tran_ac.sch into QUCS-S and run the simulation
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data = QucsDataset("rc_tran_ac.dat.ngspice")
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data.variables()
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fig, axs = plt.subplots(nrows=1, ncols=2, figsize=(15, 5))
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axs[0].semilogx(data.results("frequency"), data.results("ac.v(vn3)"), "-ro")
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axs[1].plot(data.results("time"), data.results("tran.v(vn3)"), "--b")
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axs[0].set_xlabel("Time (s)")
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axs[0].set_ylabel("Vn3 (V)")
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axs[1].set_xlabel("frequency (Hz)")
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axs[1].set_ylabel("Vn3 (V)")
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axs[0].grid()
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axs[1].grid()
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plt.show()
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