Plot graph of FS2 profiling information, includes 10th and 90th percentiles

fs2_profile.py

import numpy as np
import matplotlib.pyplot as plt
import sys

averageTime = 0.5

NANOSECONDS_PER_SECOND = 1_000_000_000.

normalLabel = sys.argv[1]
changedLabel = sys.argv[2]

def FPScalc(time, frametime):
    startIndex = 0
    currentTime = time[startIndex]

    outTime = []
    outFPS = []
    ninety = []
    ten = []

    for i in range(startIndex + 1, len(time)):
        for j in range(i, len(time)):
            if (sum := np.sum(frametime[i:j]))>averageTime:
                outTime.append(time[i])
                outFPS.append((j-i)/sum)
                perc = np.percentile(frametime[i:j], (10,90))
                ten.append(1/perc[0])
                ninety.append(1/perc[1])
                break

    return np.array(outTime), np.array(outFPS), np.array(ninety), np.array(ten)


def adjustData(data):
    times = data[2:, 0] / NANOSECONDS_PER_SECOND
    frametimes = data[2:, 1] / NANOSECONDS_PER_SECOND

    times = times - times[0]


    return FPScalc(times, frametimes)


normalData = np.genfromtxt(normalLabel, delimiter=';')
changedData = np.genfromtxt(changedLabel, delimiter=';')

nT, nF, n9, n1 = adjustData(normalData)
cT, cF, c9, c1 = adjustData(changedData)

plt.plot(nT, nF, label=normalLabel)
plt.fill_between(nT, n1, n9, alpha=0.2)
plt.plot(cT, cF, label=changedLabel)
plt.fill_between(cT, c1, c9, alpha=0.2)
plt.xlabel("Mission time")
plt.ylabel("FPS")

plt.legend(loc=1)

plt.savefig("image.png")
plt.show()