Plotting

Plotting methods are exposed on the same accessors as the data-processing methods, while their implementation lives in artist.__plot.

Native Triangular Cells

import matplotlib.pyplot as plt

fig, ax = plt.subplots(figsize=(12, 6))
da.icon.tri_plot(ax)

PolyCollection Backend

For large native-grid fields or nested-domain outlines, da.viz.tricontourf can draw ICON cell polygons directly with Matplotlib PolyCollection after ds.icon.add_grid(...) has attached the grid:

import cartopy.crs as ccrs
import matplotlib.pyplot as plt

projection = ccrs.Robinson()
fig, ax = plt.subplots(subplot_kw={"projection": projection})
da.viz.tricontourf(
    ax,
    backend="polycollection",
    projection=projection,
    edgecolor="face",
)

Quick Map

ax = da.art.quick_plot()

Slice Line

points = [[13.0, 52.0], [14.0, 53.0]]
gridpoints = ds.icon.nearest_gridpoints(points)
ax = ds.icon.show_slice_line(points, gridpoints)

Non-Cylindrical Gridlines

import cartopy.crs as ccrs
import matplotlib.pyplot as plt

fig, ax = plt.subplots(subplot_kw={"projection": ccrs.Robinson()})
ds.icon.noncyl_gridlines(
    ax,
    xticks=range(-180, 181, 60),
    yticks=range(-90, 91, 30),
)

Vertical Slice

da.art.plot_slice(
    ds["z_mc"],
    gridpoints,
    t=0,
    deg_E_start=13,
    deg_E_end=14,
    deg_N=52,
)