def test_colormaps():
fig = plt.figure(figsize=(8, 3))
axs = [fig.add_axes([0.05, 0.80, 0.9, 0.15]),
fig.add_axes([0.05, 0.475, 0.9, 0.15]),
fig.add_axes([0.05, 0.15, 0.9, 0.15])]
for ax, cm in zip(axs, ['topo', 'dem', 'nrwc']):
cb = mpl.colorbar.ColorbarBase(ax, cmap=get_cmap(cm),
orientation='horizontal')
cb.set_label(cm);
return fig
def test_colormaps():
fig = plt.figure(figsize=(8, 3))
axs = [fig.add_axes([0.05, 0.80, 0.9, 0.15]),
fig.add_axes([0.05, 0.475, 0.9, 0.15]),
fig.add_axes([0.05, 0.15, 0.9, 0.15])]
for ax, cm in zip(axs, ['topo', 'dem', 'nrwc']):
cb = mpl.colorbar.ColorbarBase(ax, cmap=get_cmap(cm),
orientation='horizontal')
cb.set_label(cm);
return fig
def test_hef_topo_withnan():
grid = mercator_grid(center_ll=(10.76, 46.798444), extent=(10000, 7000))
c = Map(grid, countries=False)
c.set_lonlat_contours(interval=10)
c.set_shapefile(get_demo_file('Hintereisferner_UTM.shp'))
dem = GeoTiff(get_demo_file('hef_srtm.tif'))
mytopo = dem.get_vardata()
h = c.set_topography(mytopo, crs=dem.grid, interp='spline')
c.set_lonlat_contours()
c.set_cmap(get_cmap('topo'))
c.set_plot_params(nlevels=256)
# Try with nan data
h[-100:, -100:] = np.NaN
c.set_data(h)
fig, ax = plt.subplots(1, 1)
c.visualize(ax=ax, title='color with NaN')
plt.tight_layout()
return fig
def test_hef_topo_withnan():
grid = mercator_grid(center_ll=(10.76, 46.798444),
extent=(10000, 7000))
c = Map(grid, countries=False)
c.set_lonlat_contours(interval=10)
c.set_shapefile(get_demo_file('Hintereisferner_UTM.shp'))
dem = GeoTiff(get_demo_file('hef_srtm.tif'))
mytopo = dem.get_vardata()
h = c.set_topography(mytopo, crs=dem.grid, interp='spline')
c.set_lonlat_contours()
c.set_cmap(get_cmap('topo'))
c.set_plot_params(nlevels=256)
# Try with nan data
h[-100:, -100:] = np.NaN
c.set_data(h)
fig, ax = plt.subplots(1, 1)
c.visualize(ax=ax, title='color with NaN')
plt.tight_layout()
return fig
