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

ds = xr.tutorial.open_dataset("air_temperature")

temp_slice = ds.air.isel(time=0)

plt.figure(figsize=(12, 6)) ax = plt.axes(projection=ccrs.PlateCarree())

temp_slice.plot(ax=ax, transform=ccrs.PlateCarree(), cmap='RdYlBu_r', cbar_kwargs={'label': 'Temperature (K)'})

ax.coastlines() ax.gridlines(draw_labels=True)

plt.title("First Step in Meteorological Data Science: Visualizing Air Temperature") plt.show()