33 lines
719 B
Python
33 lines
719 B
Python
import numpy as np
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from netCDF4 import Dataset
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# Load the NetCDF file
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file_path = 'data/MERRA2_400.inst6_3d_ana_Np.20120101.nc4'
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ncfile = Dataset(file_path, 'r')
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# Check the available variables in the file
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print(ncfile.variables.keys())
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U = ncfile.variables['T'][:]
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# Check the shape of the variable
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print("Shape of U:", U.shape)
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# Compute the mean of the variable across all axes (for all elements in U)
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U_mean = np.mean(U)
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U_sum = np.sum(U)
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# Print the mean
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print("Mean of U:", U_mean)
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print("Sum of U:", U_sum)
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sumval = 0
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row = U[0,0,100]
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for val in row:
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if not np.ma.is_masked(val):
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sumval += val
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print(f"Why does {np.sum(row)=} not equal {sumval=} ?!")
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# Close the NetCDF file
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ncfile.close() |