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Usage guidelines Google is proud to partner with libraries to digitize public domain materials and make them widely accessible. " in the Reformed Dutch Church in the City of New York, 34, 137.

lats = f.variables['latitude'][:] lons = f.variables['longitude'][:] # latitude lower and upper index latli = np.argmin( np.abs( lats - latbounds[0] ) ) latui = np.argmin( np.abs( lats - latbounds[1] ) ) # longitude lower and upper index lonli = np.argmin( np.abs( lons - lonbounds[0] ) ) lonui = np.argmin( np.abs( lons - lonbounds[1] ) ) With the netcdf4-python library the most straightforward way is creating a new netcdf file, adding dimensions, the variable name, its attributes and the save the array of data. Another good python library is IRIS (uk/iris) , it has pretty good methods to plot, interpolate , regrid, and save subsets of netcdf files.import xarray as xr ds = xr.open_dataset(' C/usgs/data2/rsignell/models/ncep/narr/air.2m.1980.nc', decode_cf=False) lat_bnds, lon_bnds = [40, 43], [-96, -89] ds.sel(lat=slice(*lat_bnds), lon=slice(*lon_bnds)) #!

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A public domain book is one that was never subject to copyright or whose legal copyright term has expired. Contributions to the History of the Early Settlers of Kings Co., N.

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