Reputation: 79
I 'm trying to build a function that uses several scalar values as inputs and one series or array also as an input.
The function applies calculations to each value in the series. It works fine so far. But now I'm adding a phase where it has to check the value of the series and if it's less than X it performs one calculation other it performs a different calculation.
However I keep getting a 'truth value series is ambiguous error and I can't seem to solve it.
What is a work around?
My code is below
import numpy as np
import pandas as pd
import math
tramp = 2
Qo = 750
Qi = 1500
b = 1.2
Dei = 0.8
Df = 0.08
Qf = 1
tmax = 30
tper = 'm'
t = pd.Series(range(1,11))
def QHyp_Mod(Qi, b, Dei, Df, Qf, tmax, tper, t):
tper = 12
Qi = Qi * (365/12)
Qf = Qf * (365/12)
ai = (1 / b) * ((1 / (1 - Dei)) ** b - 1)
aim = ai / tper
ai_exp = -np.log(1 - Df)
aim_exp = ai_exp / tper
t_exp_sw = 118
Qi_exp = Qi / ((1 + aim * t_exp_sw * b) ** (1 / b))
Qcum = (Qi / (aim * (1 - b))) * (1 - (1 / ((1 + aim * t * b) ** ((1 - b) / b))))
t_exp = t - t_exp_sw
Qcum_Exp = (Qi_exp / aim_exp) * (1 - np.exp(-aim_exp * t_exp))
if t < t_exp_sw:
return Qcum
else:
return Qcum_exp
z = QHyp_Mod(Qi=Qi, b=b, Dei=Dei, Df=Df, Qf=Qf, tmax=tmax, tper=tper, t=t)
Upvotes: 0
Views: 65
Reputation: 26
Replace the if - else statement:
if t < t_exp_sw:
return Qcum
else:
return Qcum_exp
with this:
Q.where(t < t_exp_sw, Q_exp)
return Q
The where method tests the conditional for each member of Q, if true keeps the original value, and if false replaces it with the corresponding element of Q_exp
Upvotes: 1