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[英]How to import netCDF4 file with xarray when index names have multiple dimensions?
[英]How to add aggregation dimensions to netcdf4 file with the Python library Xarray?
我正在根據來自帶有 xarray 的 Pandas Dataframe 的數據創建一個 netcdf 文件。 數據是一維的,只有時間作為維度。 然后,我使用此文件的軟件使用 libray netcdf4 中的 MFdataset() 打開和加載數據。 每次我使用to_netcdf()
函數可用的任何引擎或格式創建 netcdf 文件(例如稱為test3.nc
)時,我to_netcdf()
錯誤OSError: master dataset test3.nc does not have a aggregation dimension
在使用MFDataset('test3.nc')
打開它時OSError: master dataset test3.nc does not have a aggregation dimension
MFDataset('test3.nc')
import pandas as pd
import xarray as xr
from netcdf4 import MFDataset
# create a dataframe
df = pd.Dataframe()
# [logic to add data with one column as time]
# convert dataframe to Dataset
fo = xr.Dataset.from_dataframe(df.set_index('time'))
# add variable attributes here
# convert xarray Dataset to a netcdf file:
fo.to_netcdf('test3.nc', mode='w',format='NETCDF4_CLASSIC')
MFDataset('test3.nc')
然后控制台中出現以下錯誤,盡管時間是一個維度:
MFDataset('test3.nc')
Traceback (most recent call last):
File "/home/arcticsnow/anaconda3/envs/dataAna/lib/python3.7/site-packages/IPython/core/interactiveshell.py", line 3267, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-26-94430718f30a>", line 1, in <module>
MFDataset('test3.nc')
File "netCDF4/_netCDF4.pyx", line 5917, in netCDF4._netCDF4.MFDataset.__init__
OSError: master dataset test3.nc does not have a aggregation dimension
答案是在to_netcdf()
函數中使用以下參數:
fo.to_netcdf('test.nc', unlimited_dims={'time':True}, format='NETCDF4_CLASSIC')
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