Eliul Lab TB - wykresy do zad 1 z danych z LTSpice

eliul_tb_zad1.py

import pandas as pd
from matplotlib import pyplot as plt
from os import makedirs
from matplotlib import rcParams
rcParams.update({'figure.autolayout': True})


def import_csv(filename):
    data = pd.read_csv(filename, sep='\t', header=0)
    return data


if __name__ == '__main__':
    # Tutaj zmien nazwe pliku na swoja wyeksportowana z LTSpice:
    data = import_csv('./zad1.txt')

    ib_micro = data['ib']*1e6
    ic_milli = data['Ic(Q1)']*1e3

    makedirs('./out', exist_ok=True)
    # Pierwszy wykres
    plt.plot(ib_micro, ic_milli)
    plt.title(r'$I_C = f(I_B)$')
    plt.xlabel(r'$I_B$ $[\mu A]$')
    plt.ylabel(r'$I_C$ $[mA]$')
    plt.savefig('./out/ic_ib.png')
    plt.clf()

    # Drugi wykres
    plt.plot(data['V(1)'], ib_micro)
    plt.title(r'$I_B = f(U_{BE})$')
    plt.xlabel(r'$U_{BE}$ $[V]$')
    plt.ylabel(r'$I_B$ $[\mu A]$')
    plt.savefig('./out/ib_ube.png')
    plt.clf()

    # Trzeci wykres
    plt.loglog(ic_milli, data['d(V(1))'])
    plt.title(r'$h_{11e} = f(I_C)$')
    plt.xlabel(r'$I_C$ $[mA]$')
    plt.ylabel(r'$h_{11e}$ $[\Omega]$')
    plt.savefig('./out/h11e_ic.png')
    plt.clf()

    # Czwarty wykres
    plt.loglog(ic_milli, data['d(Ic(Q1))'])
    plt.loglog(ic_milli, data['Ic(Q1)/Ib(Q1)'])
    plt.title(r'$h_{21e} = f(I_C)$ oraz $\beta = f(I_C)$')
    plt.xlabel(r'$I_C$ $[mA]$')
    plt.ylabel(r'$[\frac{A}{A}]$')
    plt.legend([r'$h_{21e}$', r'$\beta$'])
    plt.savefig('./out/h21e+beta_ic.png')