Python读取NetCDF（nc）文件_python 采用netcdf读取nc文件

1.先决条件：安装netCDF4库

pip install netCDF4
pip install pandas

2.导入相关库

from netCDF4 import Dataset
import pandas as pd
import os

3.写一个读取nc文件的函数

def read_NetCDF_ionPrf(filename):
    data = Dataset(filename, 'r')                 # filename为文件所在路径，权限为只读
 
    MSL_alt = data.variables['MSL_alt'][:]        # Mean sea level altitude of perigee point(km)
    GEO_lat = data.variables['GEO_lat'][:]        # Geographical latitude of perigee point (°）
    GEO_lon = data.variables['GEO_lon'][:]        # Geographical longitude of perigee point (°）
    OCC_azi = data.variables['OCC_azi'][:]        # Azimuth angle of occ.plane with respect to earth(°）
    TEC_cal = data.variables['TEC_cal'][:]        # calibrated occultation TEC below LEO orbit（TECU）
    ELEC_dens = data.variables['ELEC_dens'][:]    # Election density（el/cm3）
 
    df = pd.DataFrame({
        'MSL_alt': MSL_alt,
        'GEO_lat': GEO_lat,
        'GEO_lon': GEO_lon,
        'OCC_azi': OCC_azi,
        'TEC_cal': TEC_cal,
        'ELEC_dens': ELEC_dens
    }, index=pd.RangeIndex(start=1, stop=len(MSL_alt)+1, step=1))
 
    df.to_csv(filename+'.csv')    # 读取后保存为csv文件

4.调用函数

directory = 'E:/programme/python/NetCDF/ionPrf/2019.065/' # nc文件路径
for root, dirs, files in os.walk(directory):
    for file_name in files:
        if file_name.endswith("_nc"):                    # 寻找路径里的nc文件
            file_path = os.path.join(root, file_name)    # 获得nc文件路径（包含文件名）
            # print(file_path)
            read_NetCDF_ionPrf(file_path)

5. 读取结果（csv格式）

6.获取全局属性

hour = data.getncattr('hour')
minute = data.getncattr('minute')