...
- Read bathymetry data (variable 'z') from the above mentioned netcdf file.
- Extract the latest time slice only
- Create the new file with this latest time slice, using the netCDF Kickstarter (for further info see the netCDF kickstarter)
...
Basic code elements
| Code Block |
|---|
ncdisp(ncfile)
info = ncinfo(ncfile)
z = ncread(ncfile, 'z');
|
Example pcolor plot of the most recent available measurement
| Code Block |
|---|
ncfile = 'http://opendap.deltares.nl/thredds/dodsC/opendap/rijkswaterstaat/vaklodingen/vaklodingenKB118_3736.nc';
x = ncread(ncfile, 'x');
y = ncread(ncfile, 'y');
z = ncread(ncfile, 'z');
[X, Y] = meshgrid(x, y);
Z = squeeze(z(:,:,end))';
pcolor(X,Y,Z)
shading interp
axis image
|
Matlab (OET)
| Code Block |
|---|
nc_dump(ncfile)
info = nc_info(ncfile)
z = nc_varget(ncfile, 'z');
|
...
Basic code elements
| Code Block | ||
|---|---|---|
| ||
import netCDF4
ds = netCDF4.Dataset(ncfile)
print ds
z = ds.variables['z']
ds.close()
|
Example pcolor plot of the most recent available measurement
| Code Block | ||
|---|---|---|
| ||
from netCDF4 import Dataset
import matplotlib.pyplot as plt
import numpy as np
ncfile = 'http://opendap.deltares.nl/thredds/dodsC/opendap/rijkswaterstaat/vaklodingen/vaklodingenKB118_3736.nc'
ds = Dataset(ncfile)
x = ds.variables['x'][:]
y = ds.variables['y'][:]
z = ds.variables['z'][-1,]
ds.close()
X,Y = np.meshgrid(x,y)
fig,ax = plt.subplots(nrows=1, ncols=1, subplot_kw=dict(aspect='equal'))
ax.pcolor(X, Y, z)
fig.savefig('plot.png')
|
...