Problem with cartopy NaturalEarthFeature bathymetry feature

cartopy_bathymetry.py

import numpy as np
import matplotlib.pyplot as plt
import cartopy.feature as cfeature
import cartopy.crs as ccrs
from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter

fig = plt.figure(figsize=(10, 4), dpi=300)
ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree(), aspect='equal')
ax.set_extent([-80, 10, 35, 80], crs=ccrs.PlateCarree())

# ticks
ax.set_xticks(np.arange(-80, 20, 20), crs=ccrs.PlateCarree())
ax.set_yticks(np.arange(40, 100, 20), crs=ccrs.PlateCarree())
ax.xaxis.set_major_formatter(LongitudeFormatter())
ax.yaxis.set_major_formatter(LatitudeFormatter())

# add land and coastline and 1000m bathymetry line
ax.add_feature(cfeature.LAND, facecolor='grey', zorder=1)
ax.add_feature(cfeature.COASTLINE, linewidth=0.25, zorder=1)
bathym = cfeature.NaturalEarthFeature(name='bathymetry_J_1000', scale='10m', category='physical')
ax.add_feature(bathym, facecolor='none', edgecolor='black')

I had the same problem using that bathymetry data. I solved it by switching to use GEBCO (WMS address is here). The resolution is much better!

Example:

ax1.add_wms(
        wms="http://www.gebco.net/data_and_products/gebco_web_services/web_map_service/mapserv?",
        layers=["GEBCO_LATEST"],
    )

Thanks, that looks promising. Is there a way to plot contour() and not contourf() using this?

I haven't tried those yet, but I guess everything should come along with matplotlib interface, with transform specified by Cartopy crs, for instance:

ax1.scatter(lon, lat, s=50, ec="black", fc="orange", transform=ccrs.Geodetic())

I got help on Github.

Here is an updated code.

import numpy as np
import matplotlib.pyplot as plt
import cartopy.feature as cfeature
import cartopy.crs as ccrs
from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter
from shapely.ops import cascaded_union

fig = plt.figure(figsize=(10, 4), dpi=300)
ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree(), aspect='equal')
ax.set_extent([-100, 10, 0, 90], crs=ccrs.PlateCarree())

# ticks
ax.set_xticks(np.arange(-90, 30, 30), crs=ccrs.PlateCarree())
ax.set_yticks(np.arange(40, 100, 20), crs=ccrs.PlateCarree())
ax.xaxis.set_major_formatter(LongitudeFormatter())
ax.yaxis.set_major_formatter(LatitudeFormatter())

# add land and coastline and 1000m bathymetry line
ax.add_feature(cfeature.LAND, facecolor='grey', zorder=1)
ax.add_feature(cfeature.COASTLINE, linewidth=0.25, zorder=1)
bathym = cfeature.NaturalEarthFeature(name='bathymetry_J_1000', scale='10m', category='physical')
bathym = cascaded_union(list(bathym.geometries()))
ax.add_geometries(bathym, facecolor='none', edgecolor='black', linestyle='dashed', linewidth=1, crs=ccrs.PlateCarree())