震惊！雷达数据绘图居然能白化
01 前言
有读者私信问想要单独绘制一个省的雷达数据。
实际上是比较容易的，目前cnmaps加上pycinrad即可解决
02 温馨提示
由于可视化代码过长隐藏，可前往震惊！雷达数据绘图居然能白化
点击运行Fork查看
🔜🔜若没有成功加载可视化图，点击运行可以查看
ps:隐藏代码在【代码已被隐藏】所在行，点击所在行，可以看到该行的最右角，会出现个三角形，点击查看即可
!pip install cnmaps -i <a href="https://pypi.mirrors.ustc.edu.cn/simple/" target="_blank">https://pypi.mirrors.ustc.edu.cn/simple/</a>
import netCDF4 as nc
import numpy as np
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from matplotlib.colors import LightSource
import cmaps
from cnmaps import get_adm_maps, draw_maps,clip_contours_by_map
from cartopy.mpl.gridliner import LATITUDE_FORMATTER, LONGITUDE_FORMATTER
import cinrad
from cinrad.io import CinradReader, StandardData
03 数据读取
def load_dem_data(file_path):
"""加载地形高程数据"""
ds = nc.Dataset(file_path)
_lon = ds.variables['LON'][:]
_lat = ds.variables['LAT'][:]
_dem = ds.variables['elevation'][:]
return _lon, _lat, _demdef process_dem_data(_lon, _lat, _dem, lon_range, lat_range):
"""处理地形高程数据"""
lon = _lon:lon_range]
lat = _lat:lat_range]
dem = _dem:lat_range, lon_range:lon_range]
return lon, lat, demfile_path = '/home/mw/input/china_dem3276/cldasgrid_dem.nc'f = CinradReader("/home/mw/input/data5692/Z_RADR_I_Z9250_20200612054800_O_DOR_SA_CAP.bin")V = f.get_data(5, 230, 'VEL')lon, lat, dem = load_dem_data(file_path)lon_range = (4500 ,5500)lat_range = (1500, 2100)lon, lat, dem = process_dem_data(lon, lat, dem, lon_range, lat_range)
读取的雷达变量结构如下
---------------------------------------------------------------------------NameError Traceback (most recent call last)<ipython-input-9-8a3e7747bd51> in <module> 6 7 #convert the geometry of a single polygon in your gdf (adjust the index, , to match the row of the dataframe you care about)----> 8 geom = geometry.Geometry( 9 gdf.geometry.values.__geo_interface__, geometry.CRS( 10 'epsg:4326'))NameError: name 'geometry' is not defined
04 白化前
05 白化后
谢谢观看
文章来源于公众号：气python风雨
页:
[1]