other:python:jyp_steps
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other:python:jyp_steps [2021/09/22 13:18] jypeter [CDAT-related resources] uv-cdat => cdat |
other:python:jyp_steps [2021/09/22 13:38] jypeter [cdms2 and netCDF4] Added xarray |
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| * [[https://numpy.org/doc/stable/reference/routines.err.html|Floating point error handling]] | * [[https://numpy.org/doc/stable/reference/routines.err.html|Floating point error handling]] | ||
| - | ===== cdms2 and netCDF4 ===== | + | ===== NetCDF files: using cdms2, xarray and netCDF4 ===== |
| There is a good chance that your input array data will come from a file in the [[other:newppl:starting#netcdf_and_file_formats|NetCDF format]]. | There is a good chance that your input array data will come from a file in the [[other:newppl:starting#netcdf_and_file_formats|NetCDF format]]. | ||
| - | Depending on which [[other:python:starting#some_python_distributions|python distribution]] you are using, you can use the //cdms2// or or //netCDF4// modules to read the data. | + | Depending on which [[other:python:starting#some_python_distributions|python distribution]] you are using, you can use the //cdms2//, //xarray// or //netCDF4// modules to read the data. |
| ==== cdms2 ==== | ==== cdms2 ==== | ||
| - | Summary: cdms2 can read/write netCDF files (and read //grads// dat+ctl files) and provides a higher level interface than netCDF4. cdms2 is available in the [[other:python:starting#uv-cdat|UV-CDAT distribution]], and can theoretically be installed independently of UV-CDAT (e.g. it will be installed when you install [[https://cmor.llnl.gov/mydoc_cmor3_conda/|CMOR in conda)]]. When you can use cdms2, you also have access to //cdtime//, that is very useful for handling time axis data. | + | Summary: cdms2 can read/write netCDF files (and read //grads// dat+ctl files) and provides a higher level interface than netCDF4. cdms2 is available in the [[other:python:starting#cdat|CDAT distribution]], and can theoretically be installed independently of CDAT (e.g. it will be installed when you install [[https://cmor.llnl.gov/mydoc_cmor3_conda/|CMOR in conda)]]. When you can use cdms2, you also have access to //cdtime//, that is very useful for handling time axis data. |
| How to get started: | How to get started: | ||
other/python/jyp_steps.txt · Last modified: 2024/03/07 10:15 by jypeter
