geocat库绘图示例

以下是使用geocat库绘制地图和气象数据的示例：

import geocat.datafiles as gdf
import geocat.viz.util as gvutil
import matplotlib.pyplot as plt
import numpy as np
import xarray as xr

# Load data
ds = xr.open_dataset(gdf.get("netcdf_files/uv300.nc"))
u = ds.U[0, :, :]
v = ds.V[0, :, :]

# Create figure and axis
fig, ax = plt.subplots(figsize=(10, 8))

# Set projection
gvutil.set_map_projection(ax, projection='PlateCarree')

# Add coastlines, borders and gridlines
gvutil.add_coastlines(ax)
gvutil.add_land(ax)
gvutil.add_countries(ax)
gvutil.add_states_provinces(ax)
gvutil.add_major_minor_ticks(ax, labelsize=16)

# Plot wind vectors
gvutil.plot_wind_vectors(ax, u, v, x=u.lon, y=u.lat, scale=500, headwidth=4)

# Add title
plt.title('Wind Vectors', fontsize=20)

# Show plot
plt.show()

此示例将绘制一个带有海岸线、边界和网格线的地图，并在地图上绘制风向和风速向量。