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  • matthiasdemuzere · 2 ✖

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  • CF conventions for time doesn't support years · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
319296663 https://github.com/pydata/xarray/issues/1467#issuecomment-319296663 https://api.github.com/repos/pydata/xarray/issues/1467 MDEyOklzc3VlQ29tbWVudDMxOTI5NjY2Mw== matthiasdemuzere 6926916 2017-08-01T07:54:43Z 2017-08-01T07:54:43Z NONE

In order to construct a netcdf file with a 2D field on a monthly resolution (for X number of years), I currently use the lines of code mentioned below. Since I do not care about the type of calendar, I just use 360_day, in which each month of the year has 30 days. Perhaps this can be useful for others. In case a better solution is available, please let me know!

``` import numpy as np import pandas as pd import xarray as xr

51 years, saving first day of each month.

mmhours = np.arange(0,(5136024),30*24) attrs = {'units': 'Hours since 1955-01-01T12:00:00', 'calendar' : '360_day'}

target = np.random.rand(len(mmhours),10,10) lat = np.arange(50,51,0.1) lon = np.arange(3,4,0.1)

target_xr = xr.Dataset({'test': (['time', 'lat', 'lon'], target)}, coords={'time': ('time', mmhours, attrs) ,'lat': lat, 'lon': lon})

target_xr.to_netcdf('test.nc', encoding={'test': {'zlib': True}})

```

 
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   CF conventions for time doesn't support years 238990919
318927935 https://github.com/pydata/xarray/issues/1467#issuecomment-318927935 https://api.github.com/repos/pydata/xarray/issues/1467 MDEyOklzc3VlQ29tbWVudDMxODkyNzkzNQ== matthiasdemuzere 6926916 2017-07-30T20:39:05Z 2017-07-30T20:39:05Z NONE

I actually have a similar issues with respect to 'months'. I want to write out my xarray dataarray as a netcdf file, with months as time intervals (one value per month, doesn't matter what day of the month is used as a reference). As with the 'years' described above, this does not seem to work in the current framework? 

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   CF conventions for time doesn't support years 238990919

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