def plot_gvel(per, relative=False):
key = period2key(per)
gvel_filename = "iso_gvel_fin_%s.dat"%key
figname = "iso_gvel_fin_%s.png"%key
# read the data (this method only works for 1x1 degree grid as loadtxt only
# works whern there are the same number of points in each row)
print gvel_filename
rawdata = np.loadtxt(gvel_filename, skiprows=1)
data = rawdata.ravel().reshape(180, 360)
# project the data from the global grid to the projected one
data_proj = m.transform_scalar(data[::-1, :], lons, lats, nx, ny)
if relative:
average = np.average(data_proj)
data_proj = (data_proj/average - 1.0) * 100.0
# do the plot
plt.figure()
m.drawcoastlines()
m.drawcountries()
m.drawparallels(parallels, labels=[1, 0, 0, 0])
m.drawmeridians(meridians, labels=[0, 0, 0, 1])
im = m.imshow(data_proj, cmap='jet_r')
if relative:
m.colorbar(location='right', label='%')
plt.title('Group velocity anomaly at T=%.1f s (wrt U = %.2f km/s)' %
(per, average))
else:
m.colorbar(location='right', label='U (km/s)')
plt.title('Group velocity anomaly at T=%.1f s'% per)
plt.savefig(figname)
plt.close()
print figname
def plot_gvel(per, relative=False):
key = period2key(per)
gvel_filename = "iso_gvel_fin_%s.dat" % key
figname = "iso_gvel_fin_%s.png" % key
# read the data (this method only works for 1x1 degree grid as loadtxt only
# works whern there are the same number of points in each row)
print gvel_filename
rawdata = np.loadtxt(gvel_filename, skiprows=1)
data = rawdata.ravel().reshape(180, 360)
# project the data from the global grid to the projected one
data_proj = m.transform_scalar(data[::-1, :], lons, lats, nx, ny)
if relative:
average = np.average(data_proj)
data_proj = (data_proj / average - 1.0) * 100.0
# do the plot
plt.figure()
m.drawcoastlines()
m.drawcountries()
m.drawparallels(parallels, labels=[1, 0, 0, 0])
m.drawmeridians(meridians, labels=[0, 0, 0, 1])
im = m.imshow(data_proj, cmap='jet_r')
if relative:
m.colorbar(location='right', label='%')
plt.title('Group velocity anomaly at T=%.1f s (wrt U = %.2f km/s)' %
(per, average))
else:
m.colorbar(location='right', label='U (km/s)')
plt.title('Group velocity anomaly at T=%.1f s' % per)
plt.savefig(figname)
plt.close()
print figname
#!/usr/bin/env python
# encoding: utf-8
from os import system
from dsp2intomodes import period2key
periods = [20, 50, 100, 150]
for per in periods:
key = period2key(per)
fname = "input_%s.txt" % key
system("xregiostack6 < %s" % fname)
