def calculate_beta(m, vcc):
col = ColsProxy(m)
col.Ab=uarray((col.Ab,1))
col.Ac=uarray((col.Ac,1))
col.Ub = an2v(col.Ab, vcc)
col.Uc = an2v(col.Ac, vcc)
Rout = 20
pnp = col.polarity == 'PNP'
npn = col.polarity == 'NPN'
col.Urb[pnp] = col.Ub[pnp]
col.Urb[npn] = vcc - col.Ub[npn]
col.Urc[pnp] = col.Uc[pnp]
col.Urc[npn] = vcc - col.Uc[npn]
col.Ib = col.Urb / (col.Rb + Rout)
col.Ic = col.Urc / (col.Rc + Rout)
col.Ie = col.Ib + col.Ic
col.beta = col.Ic / col.Ib[nominal_values(col.Ib) != 0]
col.Ue[pnp] = vcc - (Rout * col.Ie[pnp])
col.Ue[npn] = Rout * col.Ie[npn]
col.Ube[pnp] = -(col.Ub[pnp] - col.Ue[pnp])
col.Ube[npn] = (col.Ub[npn] - col.Ue[npn])
def calculate_beta(m, vcc):
col = ColsProxy(m)
col.Ab = uarray((col.Ab, 1))
col.Ac = uarray((col.Ac, 1))
col.Ub = an2v(col.Ab, vcc)
col.Uc = an2v(col.Ac, vcc)
Rout = 20
pnp = col.polarity == 'PNP'
npn = col.polarity == 'NPN'
col.Urb[pnp] = col.Ub[pnp]
col.Urb[npn] = vcc - col.Ub[npn]
col.Urc[pnp] = col.Uc[pnp]
col.Urc[npn] = vcc - col.Uc[npn]
col.Ib = col.Urb / (col.Rb + Rout)
col.Ic = col.Urc / (col.Rc + Rout)
col.Ie = col.Ib + col.Ic
col.beta = col.Ic / col.Ib[nominal_values(col.Ib) != 0]
col.Ue[pnp] = vcc - (Rout * col.Ie[pnp])
col.Ue[npn] = Rout * col.Ie[npn]
col.Ube[pnp] = -(col.Ub[pnp] - col.Ue[pnp])
col.Ube[npn] = (col.Ub[npn] - col.Ue[npn])
def analyse(data):
m = filter_measurements(
data.measurements,
['R'],
)
del m['t']
m.insert(0, 'Rx', calculate_ohm(m.R, m.Atop, m.Amiddle, m.Abottom))
m.insert(0, 'Rx_E12', map(format_ohmE12, nominal_values(m.Rx)))
return m
def addcol(self,
x=None,
y=None,
legend=None,
lineformat=None,
filter_func=None,
sortbyx=None):
ax = self.subplot
if x and not callable(x):
ax.set_xlabel(x)
else:
if self.x == 'time':
x = 't'
if not x:
x = self.x
if not lineformat:
lineformat = '-o'
if not callable(y):
if not legend:
legend = y
if self.convert2voltage and self.y == 'analog_value':
f2 = lambda e: an2v(e[y], self.data['vcc'])
else:
f2 = y
xcol = self._col(x, filter_func=filter_func)
ycol = self._col(f2, filter_func=filter_func)
if sortbyx:
ls = sorted(zip(xcol, ycol), key=lambda e: e[0])
xcol = [e[0] for e in ls]
ycol = [e[1] for e in ls]
assert len(xcol) == len(ycol)
assert len(xcol)
assert len(ycol)
ax.plot(nominal_values(xcol),
nominal_values(ycol),
lineformat,
label=legend)
self.update_legend()
def addcol(self, x=None, y=None, legend=None, lineformat=None, filter_func=None, sortbyx=None):
ax = self.subplot
if x and not callable(x):
ax.set_xlabel(x)
else:
if self.x == 'time':
x = 't'
if not x:
x = self.x
if not lineformat:
lineformat = '-o'
if not callable(y):
if not legend:
legend = y
if self.convert2voltage and self.y == 'analog_value':
f2 = lambda e: an2v(e[y], self.data['vcc'])
else:
f2 = y
xcol = self._col(x, filter_func=filter_func)
ycol = self._col(f2, filter_func=filter_func)
if sortbyx:
ls = sorted(zip(xcol, ycol), key=lambda e: e[0])
xcol = [e[0] for e in ls]
ycol = [e[1] for e in ls]
assert len(xcol) == len(ycol)
assert len(xcol)
assert len(ycol)
ax.plot(
nominal_values(xcol),
nominal_values(ycol),
lineformat,
label=legend)
self.update_legend()
