while 1:
fileNos, fileList = filesFromList(strKey + "*")
pfig = plt.figure(num=1, figsize=(10., 10.5))
#pfig = plt.figure(num=1, figsize=(6.,8.))
for fn in fileNos:
pdict = dict()
pdict['filename'] = fileList[fn]
pdict['Cx'] = factorX
pdict['Cy'] = factorY
pdict['lm'] = linemode
pdict['logOn'] = logOn
pdict['revAxes'] = revAxes
pdict['xlims'] = xlims
pdict['ylims'] = ylims
pfig = plotCiXY(pfig, pdict)
if (labelsOn):
pfig = userLabels(pfig)
plt.grid(True)
plt.legend(loc=0)
if (saveFig):
pfig.savefig(saveFig, format='jpg', dpi=200)
plt.show()
break
ROrig = np.zeros(2)
dPx = np.array([(X[0, 1] - X[0, 0]), (Y[1, 0] - Y[0, 0])])
X = None
Y = None
Z = None
C = None # Clear memory
info = ''' Info:
Dimensions [rows, cols] = {}
Origin (top-left) [N,E] = {}
Resolution [dX,dY] = {}
'''.format(Rdims, ROrig, dPx)
print(info)
figDims = size * (Rdims[::-1].astype(float) / np.max(Rdims))
fig = plt.figure(num=1, figsize=figDims)
fig = addImagePlot(fig, R, rasterfile, gridOn, limsOn)
R = None
if (labels):
fig = userLabels(fig)
if (not (save == '')):
filename = rasterfile.split('/')[-1] # Remove the path in Linux system
filename = filename.split('\\')[-1] # Remove the path in Windows system
filename = filename.strip('.npz') + '.' + save
fig.savefig(filename, format=save, dpi=args.dpi)
plt.show()
#==========================================================#
parser = argparse.ArgumentParser()
parser.add_argument("strKey", help="Search string for collecting files.",nargs='?',\
default=".csv")
parser.add_argument("--magy", help="Magnitude of all variables.", action="store_true",\
default=False)
parser.add_argument("--yx", help="Reverse axes: plot(x,y) --> plot(y,x)", action="store_true",\
default=False)
parser.add_argument("--labels", help="User specified labels.", action="store_true",\
default=False)
parser.add_argument("--reuse", help="Reuse once specified variable selections.", action="store_true",\
default=False)
#==========================================================#
args = parser.parse_args()
strKey = args.strKey
while 1:
fileNos, fileList = filesFromList("*" + strKey + "*")
pfig = pl.figure(num=1, figsize=(8.5, 8.5))
for fn in fileNos:
pfig = plotCSV(pfig, fileList[fn], args.yx, args.magy, args.reuse)
if (args.labels): pfig = userLabels(pfig)
pl.grid(True)
pl.legend(loc=0)
pl.show()
header=hStr)
else:
hStr = ' {} at times = {}'.format(varList[iy], time[-1])
if (timeAverageOn):
np.savetxt(
varList[iy] + '_tavg.dat',
np.c_[
xdict[xStr][:-1],
np.transpose(np.nanmean(y[
tskip:, :-1], axis=0))],
header=hStr)
else:
np.savetxt(varList[iy] + '.dat',
np.c_[xdict[xStr][:-1],
np.transpose(y[-1, :-1])],
header=hStr)
else:
sys.exit(
' Plotting of profiles with more than one spatial dimension not supported.'
)
if (noPlot):
break
else:
if (labelsOn): fig = userLabels(fig)
plt.legend(loc=0)
plt.show()
print(' Bye! ')