英文:
Python error with xarray open_rasterio function
问题
# Step 3: 使用 rioxarray 读取 GeoTIFF 文件
data = xr.open_rasterio(tif)
# 从数据中提取纬度和经度值
latitude = data.y.values
longitude = data.x.values
# 将风数据从U/V分量转换为大小和方向
u_wind = data.values[0]
v_wind = data.values[1]
wind_magnitude = np.sqrt(u_wind*2 + v_wind*2)
wind_direction = np.degrees(np.arctan2(u_wind, v_wind))
# 创建纬度和经度的网格
lon_grid, lat_grid = np.meshgrid(longitude, latitude)
英文:
I am trying to read a file this netcdf file and convert it into tif file and read it using xarray
import xarray as xr
import geemap
import numpy as np
from mayavi import mlab
# Step 1: Download the NetCDF file
url = 'https://github.com/giswqs/leafmap/raw/master/examples/data/wind_global.nc'
filename = 'wind_global.nc'
data = geemap.read_netcdf(filename)
# Step 2: Convert the NetCDF file to a GeoTIFF
tif = 'wind_global.tif'
geemap.netcdf_to_tif(filename, tif, variables=['u_wind', 'v_wind'], shift_lon=True)
print(data)
# Step 3: Read the GeoTIFF file using rioxarray
data = xr.open_rasterio(tif)
# Extract latitude and longitude values from the data
latitude = data.y.values
longitude = data.x.values
# Convert wind data from U/V components to magnitude and direction
u_wind = data.values[0]
v_wind = data.values[1]
wind_magnitude = np.sqrt(u_wind*2 + v_wind*2)
wind_direction = np.degrees(np.arctan2(u_wind, v_wind))
# Create a meshgrid of latitude and longitude
lon_grid, lat_grid = np.meshgrid(longitude, latitude)
which throws me the error
module 'xarray' has no attribute 'open_rasterio'
答案1
得分: 1
xarray.open_rasterio自版本0.20.0起已被弃用（发布说明），并在2023.04.0版本中已删除（发布说明）。
推荐的替代方法是rioxarray.open_rasterio（“入门指南”）。
英文:
xarray.open_rasterio was deprecated from version 0.20.0 onwards (release notes), and has been removed as of build 2023.04.0 (release notes).
The recommended replacement is rioxarray.open_rasterio ("Getting Started" guide).
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