示例#1
0
#     Sandia National Laboratories, Livermore, CA, USA
#=====================================================================================

import os
import sys
import numpy as np
from scipy import stats
import matplotlib
import matplotlib.pylab as plt

import plot_utils as ut

method = sys.argv[1]

# Read data file into numpy array
odeData = ut.ReadDataFile("solution_" + method + ".dat")

# Define stride to reduce data
stride = 10
# extract x coordinates
xCoords = odeData[::stride, 0]

# font and linewidth parameters

# lw is line width
# fs is font size
lw, fs = ut.SetPlotParams()
elw = lw / 2  # error bar line width

# create figure and axis
fig = plt.figure(figsize=(6, 4))
示例#2
0
#
#     Questions? Contact the UQTk Developers at <*****@*****.**>
#     Sandia National Laboratories, Livermore, CA, USA
#=====================================================================================

import os
import sys 
import numpy as np
from   scipy import stats
import matplotlib
import matplotlib.pylab as plt

import plot_utils as ut

# Read data file into numpy array
odeData = ut.ReadDataFile("solution_NISP_modes.dat")

# Define stride to reduce data
stride = 1

# extract x coordinates
xCoords = odeData[::stride,0]

# font and linewidth parameters

# lw is line width
# fs is font size
lw,fs = ut.SetPlotParams()

# create figure and axis
fig = plt.figure(figsize=(6,4))
示例#3
0
#!/usr/bin/env python

import os
import sys
import numpy as np
from scipy import stats
import matplotlib
import matplotlib.pylab as plt

import plot_utils as ut

# Read data file into numpy array
odeData = ut.ReadDataFile("solutionISP.dat")

# Define stride to reduce data
stride = 1000

# extract x coordinates
xCoords = odeData[::stride, 0]

# font and linewidth parameters

# lw is line width
# fs is font size
lw, fs = ut.SetPlotParams()

# create figure and axis
fig = plt.figure(figsize=(6, 4))
ax = fig.add_axes([0.15, 0.15, 0.75, 0.75])

# set axis limits
示例#4
0
#
#     Questions? Contact the UQTk Developers at <*****@*****.**>
#     Sandia National Laboratories, Livermore, CA, USA
#=====================================================================================

import os
import sys
import numpy as np
from scipy import stats
import matplotlib
import matplotlib.pylab as plt

import plot_utils as ut

# Read data file into numpy array
odeDataISP = ut.ReadDataFile("solution_ISP.dat")
odeDataNISP = ut.ReadDataFile("solution_NISP.dat")

# Define stride to reduce data
stride = 10

# extract x coordinates
xCoordsISP = odeDataISP[::stride, 0]
xCoordsNISP = odeDataNISP[::stride, 0]

# font and linewidth parameters

# lw is line width
# fs is font size
lw, fs = ut.SetPlotParams()