from PositionHeatMap import readMeanListSdListFromFile
import os
import math
from scipy import stats
import matplotlib.pyplot as plt
import matplotlib as mpl
from matplotlib import rc
import numpy as np
scenarioList = [1, 2]
# scenarioList = [8]
for scenarioNumber in scenarioList:
holdingProbFile = "HoldingProb-Scenario{0}".format(scenarioNumber)
resultMean1, resultSError1 = readMeanListSdListFromFile(
"{0}.csv".format(holdingProbFile))
fig = plt.figure(num=None, figsize=(50, 12), dpi=80)
# ax2 = fig.add_subplot(111)
x_axis = range(0, 101, 10)
plt.errorbar(x=x_axis, y=resultMean1, yerr=resultSError1, fmt='r-')
# plt.ylim((0, ))
plt.xlim((0, 100))
# plt.yticks(np.arange(0, 360, 80))
# for tl in plt.get_yticklabels():
# tl.set_color('r')
font = {'size': 30}
rc('font', **font)
# for tick in mpl.axis.Axis.get_major_ticks():
from PositionHeatMap import readMeanListSdListFromFile
import os
import math
from scipy import stats
import matplotlib.pyplot as plt
import matplotlib as mpl
from matplotlib import rc
import numpy as np
scenarioList = [1,2]
# scenarioList = [8]
for scenarioNumber in scenarioList:
holdingProbFile = "HoldingProb-Scenario{0}".format(scenarioNumber)
resultMean1, resultSError1 = readMeanListSdListFromFile("{0}.csv".format(holdingProbFile))
fig = plt.figure(num=None, figsize=(50, 12), dpi=80)
# ax2 = fig.add_subplot(111)
x_axis = range(0, 101, 10)
plt.errorbar(x=x_axis, y=resultMean1, yerr=resultSError1, fmt='r-')
# plt.ylim((0, ))
plt.xlim((0,100 ))
# plt.yticks(np.arange(0, 360, 80))
# for tl in plt.get_yticklabels():
# tl.set_color('r')
font = {'size': 30}
rc('font', **font)
# for tick in mpl.axis.Axis.get_major_ticks():
import os
import math
from scipy import stats
import matplotlib.pyplot as plt
import matplotlib as mpl
from matplotlib import rc
import numpy as np
scenarioList = [1, 2]
# scenarioList = [8]
for scenarioNumber in scenarioList:
withDeviceFile = "HotSpotsOverTime-Scenario{0}-{1}".format(scenarioNumber, "with device")
withoutDeviceFile = "HotSpotsOverTime-Scenario{0}-{1}".format(scenarioNumber, "without device")
with open("{0}.csv".format(withDeviceFile)) as withFile:
with open("{0}.csv".format(withoutDeviceFile)) as withoutFile:
resultMean1, resultSError1 = readMeanListSdListFromFile("{0}.csv".format(withDeviceFile))
resultMean2, resultSError2 = readMeanListSdListFromFile("{0}.csv".format(withoutDeviceFile))
fig = plt.figure(num=None, figsize=(50, 50), dpi=80)
# ax2 = fig.add_subplot(111)
x_axis = range(1, len(resultMean1) + 1, 1)
plt.errorbar(x=x_axis, y=resultMean1, yerr=resultSError1, fmt="r-", label="With Device")
x_axis = range(1, len(resultMean2) + 1, 1)
plt.errorbar(x=x_axis, y=resultMean2, yerr=resultSError2, fmt="b-", label="Without Device")
plt.ylim((0, 4))
# plt.yticks(np.arange(0, 360, 80))
# for tl in plt.get_yticklabels():
# tl.set_color('r')
font = {"size": 60}
import os
import math
from scipy import stats
import matplotlib.pyplot as plt
import matplotlib as mpl
from matplotlib import rc
import numpy as np
scenarioList = [1,2]
# scenarioList = [8]
for scenarioNumber in scenarioList:
withDeviceFile = "HotSpotsOverTime-Scenario{0}-{1}".format(scenarioNumber, "with device")
withoutDeviceFile = "HotSpotsOverTime-Scenario{0}-{1}".format(scenarioNumber, "without device")
with open("{0}.csv".format(withDeviceFile)) as withFile:
with open("{0}.csv".format(withoutDeviceFile)) as withoutFile:
resultMean1, resultSError1 = readMeanListSdListFromFile("{0}.csv".format(withDeviceFile))
resultMean2, resultSError2 = readMeanListSdListFromFile("{0}.csv".format(withoutDeviceFile))
fig = plt.figure(num=None, figsize=(50,50), dpi=80)
# ax2 = fig.add_subplot(111)
x_axis = range(1, len(resultMean1)+1, 1)
plt.errorbar(x=x_axis, y=resultMean1, yerr=resultSError1, fmt='r-', label="With Device")
x_axis = range(1, len(resultMean2)+1, 1)
plt.errorbar(x=x_axis, y=resultMean2, yerr=resultSError2, fmt='b-', label="Without Device")
plt.ylim((0, 4))
# plt.yticks(np.arange(0, 360, 80))
# for tl in plt.get_yticklabels():
# tl.set_color('r')