掙值分析-Python

AisaMaral發表於2024-04-08
Python
import matplotlib.pyplot as plt
import matplotlib

matplotlib.use('TkAgg')


# 設定函式進行計算
def SV(EV, PV):
    return EV - PV


def CV(EV, AC):
    return EV - AC


def SPI(EV, PV):
    return EV / PV


def CPI(EV, AC):
    return EV / AC


def TEAC(SAC, SPI):
    return SAC / SPI


def EAC(BAC, CPI):
    return BAC / CPI


SAC = 10
BAC = 170
pv = []
ac = []
ev = []
cv = []
sv = []
cpi = []
spi = []
teac = []
eac = []
# 1st week
ac.append(10)
pv.append(10)
ev.append(30 * 0.3)
sv.append(SV(ev[0], pv[0]))
cv.append(CV(ev[0], ac[0]))
spi.append(SPI(ev[0], pv[0]))
cpi.append(CPI(ev[0], ac[0]))
teac.append(TEAC(SAC, spi[0]))
eac.append(EAC(BAC, cpi[0]))
print(ac, pv, spi, teac, eac)
# 2ed week
ac.append(36)
pv.append(35)
ev.append(30 * 0.8 + 70 * 0.1)
sv.append(SV(ev[1], pv[1]))
cv.append(CV(ev[1], ac[1]))
spi.append(SPI(ev[1], pv[1]))
cpi.append(CPI(ev[1], ac[1]))
teac.append(TEAC(SAC, spi[1]))
eac.append(EAC(BAC, cpi[1]))
print(ac, pv, spi, teac, eac)
# 3ird week
ac.append(54)
pv.append(50)
ev.append(30 + 70 * 0.25)
sv.append(SV(ev[2], pv[2]))
cv.append(CV(ev[2], ac[2]))
spi.append(SPI(ev[2], pv[2]))
cpi.append(CPI(ev[2], ac[2]))
teac.append(TEAC(SAC, spi[2]))
eac.append(EAC(BAC, cpi[2]))
print(ac, pv, spi, teac, eac)

pvList = pv
acList = ac
evList = ev

x_data = ['1st week', '2ed week', '3ird week']

plt.plot(x_data, pvList, ':o', alpha=1, linewidth=1, label='PV')
plt.plot(x_data, acList, '--x', alpha=1, linewidth=1, label='AC')
plt.plot(x_data, evList, '-.s', alpha=1, linewidth=1, label='EV')

plt.legend()
plt.xlabel('time/week')
plt.ylabel('value')

plt.show()

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