isosurface

Axes3DGL.isosurface(*args, **kwargs):

creates a three-dimensional isosurface plot.

Parameters

• x – (array_like) Optional. X coordinate array.

• y – (array_like) Optional. Y coordinate array.

• z – (array_like) Optional. Z coordinate array.

• data – (array_like) Volume data array.

• isovalue – (float) Specified isosurface value.

• cdata – (array_like) Optional. Volume color data array.

• facecolor – (color) Optional. Color map string.

• cmap – (string) Optional. Color map string.

• nthread – (int) Optional. Thread number. Default is 4.

Returns

3D Mesh graphic.

Example of isosurface function

x = y = z = arange(-3, 3.1, 0.1)
xx,yy,zz = meshgrid(x, y, z)
v = xx*exp(-xx**2 - yy**2 - zz**2)

#Plot
lighting(position=[0,0,2,1], mat_specular=[1,1,1,1])
isosurface(x, y, z, v, 1e-5, color='c', edgecolor=None, nthread=4)
xlim(-3, 3)
xlabel('x')
ylabel('y')
zlabel('z')

Example of 3D heart plot

a = linspace(-3, 3, 100)
x,y,z = meshgrid(a, a, a)
p = (x**2+(9/4.)*y**2+z**2-1)**3-x**2*z**3-(9/80.)*y**2*z**3

axes3d(aspect='equal', axes_zoom=True)
grid(False)
lighting(mat_specular=1)
isosurface(x, y, z, p, 0, facecolor='r', edgecolor=None)

Example of plotting 3D isosurface of dust concentrations from dust model

#Set date
sdate = datetime.datetime(2019, 4, 17, 0)

#Set directory
datadir = 'D:/Temp/mm5'

#Read data
fn = os.path.join(datadir, 'WMO_SDS-WAS_Asian_Center_Model_Forecasting_CUACE-DUST_CMA_'+ sdate.strftime('%Y%m%d%H') + '.nc')
f = addfile(fn)
st = f.gettime(0)
t = 10
dust = f['CONC_DUST'][t,:,:,:]
levels = dust.dimvalue(0)
dust[dust<5] = 0
height = meteolib.pressure_to_height_std(levels)
lat = dust.dimvalue(1)
lon = dust.dimvalue(2)

#Relief data
fn = 'D:/Temp/nc/elev.0.25-deg.nc'
f = addfile(fn)
elev = f['data'][0,'15:65','65:155']
elev[elev<0] = -1
lon1 = elev.dimvalue(1)
lat1 = elev.dimvalue(0)
lon1, lat1 = meshgrid(lon1, lat1)

#Plot
ax = axes3d()
ax.set_rotation(348)
ax.set_elevation(-29)
lighting(True)
levs = arange(0, 6000, 200)
cols = makecolors(len(levs) + 1, cmap='MPL_terrain')
cols[0] = 'w'
ls = surf(lon1, lat1, elev, levs, colors=cols, edge=False)
isosurface(lon, lat, height, dust, 100, color=[255,180,0,10], \
    edge=False, nthread=4)
colorbar(ls)
xlim(65, 155)
xlabel('Longitude')
ylim(15, 65)
ylabel('Latitude')
zlim(0, 15000)
zlabel('Height (m)')
#zticks(arange(len(levels))[1:], levels[1:])
tt = st + datetime.timedelta(hours=t*3)
title('Dust bigger than 100 ug/m3 (%s)' % tt.strftime('%Y-%m-%d %H:00'))