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')