Menggabungkan file NC

import xarray as xr

ds = xr.open_mfdataset("lokasi file/*.nc", combine='by_coords')

ds.to_netcdf("output.nc")

import xarray as xr

date_range = pd.date_range(start='2022-01-01', end='2022-12-31', freq='D')

for single_date in date_range:

    date_str = single_date.strftime('%Y%m%d')

    date_str1 = single_date.strftime('%d')

    date_str2 = single_date.strftime('%m')

    file_pattern = f'D:/GSMAP NC 2022/{date_str2}/{date_str1}/GSMaP*.nc'

    output_file = f'D:/GSMAP NC 2022/{date_str2}/{date_str1}/{date_str}.nc'

    print(f'Combine {output_file} (this may take some time)...')

    ds = xr.open_mfdataset(file_pattern, combine='by_coords')

    ds.to_netcdf(output_file)

    print('Done')'''

import xarray as xr

import glob

# Definisikan rentang latitude dan longitude yang diinginkan (hapus pagarnya bila digunakan)

# lat_min, lat_max = 0, 10              

# lon_min, lon_max = 100, 120

base_dir = "base"

output_file = "output.nc"

files = sorted(glob.glob(f"{base_dir}/*.nc"))

# Temukan dan filter file netCDF berdasarkan rentang latitude dan longitude (hapus pagarnya bila digunakan)

#filtered_files = [f for f in files if (f"{lat_min}:{lat_max}" in f) and (f"{lon_min}:{lon_max}" in f)]

print(f'Menggabungkan file (ini mungkin memakan waktu)...')

try:

    ds = xr.open_mfdataset(filtered_files, combine='by_coords')

except:

    ds = xr.open_mfdataset(files, combine='by_coords')

ds.to_netcdf(output_file)

print('Selesai')