def interpolateAndPlot(xIn, yIn, tIn, tMin, tMax, k, Ts, fCode):
# tIn = timeStamps#np.array(timeStamps)
# xIn = coordX#np.array(coordX)
# yIn = coordY#np.array(coordY)
interpolatedXOnTime = interpolateBS(tIn, xIn, tMin, tMax, k, Ts, fCode)
interpolatedYOnTime = interpolateBS(tIn, yIn, tMin, tMax, k, Ts, fCode)
sampledTime = np.linspace(tMin, tMax, 1000)
interpolatedXOnSampledTime = splev(sampledTime, interpolatedXOnTime)
interpolatedYOnSampledTime = splev(sampledTime, interpolatedYOnTime)
fig = plt.figure()
ax = fig.gca()
ax.scatter(xIn, yIn, c=tIn, cmap=cm.seismic)
ax.plot(interpolatedXOnSampledTime, interpolatedYOnSampledTime, color='green')
ax.legend()
plt.show()
def interpolateAndPlot(xIn, yIn, tIn, tMin, tMax, k, Ts, fCode):
"""
interpolates given xIn, yIn acoording to times tMin, tMax and other inputs,
and plots them on a graph
"""
# tIn = timeStamps#np.array(timeStamps)
# xIn = coordX#np.array(coordX)
# yIn = coordY#np.array(coordY)
interpolatedXOnTime = interpolateBS(tIn, xIn, tMin, tMax, k, Ts, fCode)
interpolatedYOnTime = interpolateBS(tIn, yIn, tMin, tMax, k, Ts, fCode)
sampledTime = np.linspace(tMin, tMax, 1000)
interpolatedXOnSampledTime = splev(sampledTime, interpolatedXOnTime)
interpolatedYOnSampledTime = splev(sampledTime, interpolatedYOnTime)
fig = plt.figure()
ax = fig.gca()
ax.scatter(xIn, yIn, c=tIn, cmap=cm.seismic)
ax.plot(interpolatedXOnSampledTime,
interpolatedYOnSampledTime,
color="green")
ax.legend()
plt.show()
traceToFileLists(traceFileName, userNames, "Extracted Users:", "User: "******"Extracted Sessions:", "Session: ")
traceToFileLists(traceFileName, projectionFields, "Extracted Fileds:",
"Field: ")
traceToFileLists(traceFileName, relativeTime, "Extracted Time Period:",
"relativeTime: ")
tracetoUsersExpDesVariables(userName1, tMin, tMax, k, Ts, fCode)
tracetoUsersExpDesVariables(userName2, tMinUser, tMaxUser, kUser, TsUser,
fCodeUser)
# ============================================================================================================
# 6. Implement Experiment --------------------------------------------------------------------------------------------
#interpolate xCoord and yCoord with the timeStamps and other inputs for first user
interpolatedXOnTime = interpolateBS(timeStamps, xCoord, tMin, tMax, k, Ts,
fCode)
interpolatedYOnTime = interpolateBS(timeStamps, yCoord, tMin, tMax, k, Ts,
fCode)
#sample the time and evaluate interpolation on sampledTime for first user
sampledTime = np.linspace(tMin, tMax, 1000)
interpolatedXOnSampledTime = splev(sampledTime, interpolatedXOnTime)
interpolatedYOnSampledTime = splev(sampledTime, interpolatedYOnTime)
#interpolate xCoord and yCoord with the timeStamps and other inputs for second user
interpolatedXOnTimeUser = interpolateBS(timeStampsUser, xCoordUser, tMinUser,
tMaxUser, kUser, TsUser, fCodeUser)
interpolatedYOnTimeUser = interpolateBS(timeStampsUser, yCoordUser, tMinUser,
tMaxUser, kUser, TsUser, fCodeUser)
#sample the time and evaluate interpolation on sampledTime for second user
shift = timeStamps[-1]
shiftedSampledTimeUser = [time.__add__(shift) for time in timeStampsUser]
totalTimeStamps = timeStamps + shiftedSampledTimeUser
totalxCoord = xCoord + xCoordUser
totalyCoord = yCoord + yCoordUser
plt.figure(1)
plt.title('Check')
plt.plot(totalTimeStamps) #), xIn, color='blue')
#plt.plot(t, x, color='red')
plt.show()
#interpolateAndPlot(xCoordUser, yCoordUser, timeStampsUser, tMinUser, tMaxUser, kUser, TsUser, fCodeUser)
interpolatedXOnTimeUser = interpolateBS(totalTimeStamps, totalxCoord, tMin, tMaxUser, kUser, TsUser, fCodeUser)
interpolatedYOnTimeUser = interpolateBS(totalTimeStamps, totalyCoord, tMin, tMaxUser, kUser, TsUser, fCodeUser)
sampledTimeUser = np.linspace(tMin, tMaxUser, 1000)
interpolatedXOnSampledTimeUser = splev(sampledTimeUser, interpolatedXOnTimeUser)
interpolatedYOnSampledTimeUser = splev(sampledTimeUser, interpolatedYOnTimeUser)
# end of evina Configuration---------------------------------------------------
fig = plt.figure()
ax = fig.gca()
#ax.scatter(xCoord, yCoord, c=timeStamps, cmap=cm.seismic)
ax.scatter(totalxCoord, totalyCoord, c=totalTimeStamps, cmap=cm.PiYG)