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| sha | message | author_date | committer_date | raw_author | raw_committer | repo | author | committer |
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| cf19528d6d2baf988ad34e024cae28361c9fd693 | Added PNC backend to xarray (#1905) * Added PNC backend to xarray PNC is used for GEOS-Chem, CAMx, CMAQ and other atmospheric data formats that have their own file formats and meta-data conventions. It can provide a CF compliant netCDF-like interface. * Added whats-new documentation * Updating pnc_ to remove DunderArrayMixin dependency * Adding basic tests for pnc Right now, pnc is simply being tested as a reader for NetCDF3 files * Updating for flake8 compliance * flake does not like unused e * Updating pnc to PseudoNetCDF * Remove outer except * Updating pnc to PseudoNetCDF * Added open and updated init Based on shoyer review * Updated indexing and test fix Indexing supports #1899 * Added PseudoNetCDF to doc/io.rst * Changing test subtype * Changing test subtype removing pdb * pnc test case requires netcdf3only For now, pnc is only supporting the classic data model * adding backend_kwargs default as dict This ensures **mapping is possible. * Upgrading tests to CFEncodedDataTest Some tests are bypassed. PseudoNetCDF string treatment is not currently compatible with xarray. This will be addressed soon. * Not currently supporting autoclose I do not fully understand the usecase, so I have not implemented these tests. * Minor updates for flake8 * Explicit skipping Using pytest.mark.skip to skip unsupported tests * removing trailing whitespace from pytest skip * Adding pip support * Addressing comments * Bypassing pickle, mask/scale, and object These tests cause errors that do not affect desired backend performance. * Added uamiv test PseudoNetCDF reads other formats. This adds a test of uamiv to the standard test for a backend and skips mask/scale, object, and boolean tests * Adding support for autoclose ensure open must be called before accessing variable data * Adding bakcend_kwargs to all backends Most backends currently take no keywords, so an empty ditionary is appropriate. * Small tweaks to PNC backend * remove warning and update whats-new * Separating isntall and io pnc doc and updating whats new * fixing line length in test * Tests now use non-netcdf files * Removing unknown meta-data netcdf support. * flake8 cleanup * Using python 2 and 3 compat testing * Disabling mask_and_scale by default prevents inadvertent double scaling in PNC formats * consistent with 3.0.0 Updates in 3.0.1 will fix close in uamiv. * Updating readers and line length * Updating readers and line length * Updating readers and line length * Adding open_mfdataset test Testing by opening same file twice and stacking it. * Using conda version of PseudoNetCDF * Removing xfail for netcdf Mask and scale with PseudoNetCDF and NetCDF4 is not supported, but not prevented. * Moving pseudonetcdf to v0.15 * Updating what's new * Fixing open_dataarray CF options mask_and_scale is None (diagnosed by open_dataset) and decode_cf should be True | 2018-06-01T04:21:43Z | 2018-06-01T04:21:43Z | dc2825d6a4f9eb8fcc1fc4ca3d957f826d0a9078 | f10b21bed2846b879806f87039b77245b18e7671 | 13221727 | 1191149 | 1217238 |