Exemplo n.º 1
0
import matplotlib.pyplot
import glint2
import sys

# Simple script to plot the polygons of a grid
# m.greenland2.grid2

fname = sys.argv[1]

if len(sys.argv) > 2 :
	vname = sys.argv[2]
else :
	vname = 'grid'

nc = netCDF4.Dataset(fname)
grid = glint2.pyGrid(nc, vname)
grid1 = glint2.pyGrid(nc, 'm.grid1')
nc.close()

# Plot multiple plots on one page
figure = matplotlib.pyplot.figure(figsize=(8.5,11))
ax = figure.add_subplot(111)

#mymap = giss.basemap.greenland_laea(ax)
mymap = giss.basemap.north_laea(ax)
grid.plot(mymap, linewidth=.5)
grid1.plot(mymap, linewidth=.5, color='r')
mymap.drawcoastlines()

# Also show on screen
figure.savefig('x.ps')
Exemplo n.º 2
0
	subprocess.call(['../../sbin/overlap', 'greenland_2x2_5.nc', 'searise_g20.nc'])


if 2 in steps :
	# =============== Step 2: Plot grid outlines

	# Set up the page
	figure = matplotlib.pyplot.figure(figsize=(11,8.5))
	# figure.set_size_inches(11., 8.5)		# US Letter
	figure.set_size_inches(8.267,11.692)	# A4

	# -------- First plot: grid1

	# Read the grid
	nc = netCDF4.Dataset(grid1_name + '.nc', 'r')
	grid1 = glint2.pyGrid(nc, 'grid')
	nc.close()

	# Plot it!
	ax = figure.add_subplot(131)
	basemap = giss.basemap.greenland_laea(ax=ax)
	grid1.plot(basemap)

	# ---------- Second plot: grid2
	# Read the grid
	nc = netCDF4.Dataset('searise_g20.nc', 'r')
	grid2 = glint2.pyGrid(nc, 'grid')
	nc.close()

	ax = figure.add_subplot(132)
	basemap = giss.basemap.greenland_laea(ax=ax)
Exemplo n.º 3
0
# Usage: plot_grid <grid-file.nc> [var-name]
#    var-name default = 'grid'

# Simple script to plot the polygons of a grid
# m.greenland2.grid2

fname = sys.argv[1]

if len(sys.argv) > 2 :
    vname = sys.argv[2]
else :
    vname = 'grid'

nc = netCDF4.Dataset(fname)
grid = glint2.pyGrid(nc, vname)
nc.close()

# Plot multiple plots on one page
figure = matplotlib.pyplot.figure(figsize=(8.5,11))
ax = figure.add_subplot(111)

mymap = giss.basemap.greenland_laea(ax)
#mymap = giss.basemap.north_laea(ax)
grid.plot(mymap, linewidth=.5)
mymap.drawcoastlines()

# Also show on screen
figure.savefig('x.pdf')
matplotlib.pyplot.show()
Exemplo n.º 4
0
import matplotlib.pyplot
import glint2
import sys

# Simple script to plot the polygons of a grid
# m.greenland2.grid2

fname = sys.argv[1]

if len(sys.argv) > 2:
    vname = sys.argv[2]
else:
    vname = 'grid'

nc = netCDF4.Dataset(fname)
grid = glint2.pyGrid(nc, vname)
grid1 = glint2.pyGrid(nc, 'm.grid1')
nc.close()

# Plot multiple plots on one page
figure = matplotlib.pyplot.figure(figsize=(8.5, 11))
ax = figure.add_subplot(111)

#mymap = giss.basemap.greenland_laea(ax)
mymap = giss.basemap.north_laea(ax)
grid.plot(mymap, linewidth=.5)
grid1.plot(mymap, linewidth=.5, color='r')
mymap.drawcoastlines()

# Also show on screen
figure.savefig('x.ps')