def analyse(data):
config = data.config
vcc = data.vcc
m = data.measurements
grouped = segmented_measurements(m, ["charge", "R"], as_index=1)
def voltage(measurement):
return u_an2v(measurement.Amiddle, vcc)
def first(ls):
return ls.values[0]
def last(ls):
return ls.values[-1]
t = grouped["t"].agg(dict(t1=first, t2=last))
A = grouped["Amiddle"].agg(dict(A1=first, A2=last))
mreg = DataFrame([(charge, R, regc(g, R)) for (charge, R), g in grouped], columns=["charge", "R", "Creg"])
df = A.join(t)
df = df.reset_index()
df = df[df["charge"] == 0]
del df["charge"]
col = ColsProxy(df)
col.Creg = mreg["Creg"]
col.dt = col.t2 - col.t1
col.C = calculate_c(col.A1, col.A2, col.R, col.t1, col.t2)
movecol(df, "Creg", 0)
movecol(df, "C", 0)
return df
def analyse(data):
config = data.config
vcc = data.vcc
m = filter_measurements(data.measurements, ['B', 'C', 'E', 'polarity'],
['Ab', 'Ac'])
calculate_beta(m, vcc)
movecol(m, 'beta', 0)
m = m.sort_index(by='polarity')
candidates = m[np.logical_and(m.Ube > 0.1, m.Ube < 1)]
s = candidates.groupby(['polarity', 'B'], sort=False).size()
ok = s[s == 2]
if len(ok) == 1:
polarity, B = ok.index[0]
m = m[np.logical_and(m.polarity == polarity, m.B == B)]
del m['Ue']
del m['Urc']
del m['Urb']
del m['Ub']
del m['Uc']
del m['Ab']
del m['Ac']
del m['t']
# del m['Ib']
del m['Ic']
del m['Ie']
del m['Rb']
del m['Rc']
return m
def analyse(data):
config = data.config
vcc = data.vcc
m = filter_measurements(
data.measurements,
['B', 'C', 'E', 'polarity'],
['Ab', 'Ac'])
calculate_beta(m, vcc)
movecol(m, 'beta', 0)
m = m.sort_index(by='polarity')
candidates = m[np.logical_and(m.Ube > 0.1, m.Ube < 1)]
s = candidates.groupby(['polarity', 'B'], sort=False).size()
ok = s[s==2]
if len(ok)==1:
polarity,B=ok.index[0]
m=m[np.logical_and(m.polarity==polarity,m.B==B)]
del m['Ue']
del m['Urc']
del m['Urb']
del m['Ub']
del m['Uc']
del m['Ab']
del m['Ac']
del m['t']
# del m['Ib']
del m['Ic']
del m['Ie']
del m['Rb']
del m['Rc']
return m
def analyse(data):
config = data.config
vcc = data.vcc
m = data.measurements
grouped = segmented_measurements(m, ['charge', 'R'], as_index=1)
def voltage(measurement):
return u_an2v(measurement.Amiddle, vcc)
def first(ls):
return ls.values[0]
def last(ls):
return ls.values[-1]
t = grouped['t'].agg(dict(t1=first, t2=last))
A = grouped['Amiddle'].agg(dict(A1=first, A2=last))
mreg = DataFrame([(charge, R, regc(g, R)) for (charge, R), g in grouped],
columns=['charge', 'R', 'Creg'])
df = A.join(t)
df = df.reset_index()
df = df[df['charge'] == 0]
del df['charge']
col = ColsProxy(df)
col.Creg = mreg['Creg']
col.dt = col.t2 - col.t1
col.C = calculate_c(col.A1, col.A2, col.R, col.t1, col.t2)
movecol(df, 'Creg', 0)
movecol(df, 'C', 0)
return df
