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| 16a2c03bb23757a92f3f9b8e74c4d489e892e6d6 | Allow expand_dims() method to support inserting/broadcasting dimensions with size>1 (#2757) * Quarter offset implemented (base is now latest pydata-master). (#2721) * Quarter offset implemented (base is now latest pydata-master). * Fixed issues raised in review (https://github.com/pydata/xarray/pull/2721#pullrequestreview-199346642) * Updated whats-new.rst with info on quarter offset support. * Updated whats-new.rst with info on quarter offset support. * Update doc/whats-new.rst Co-Authored-By: jwenfai <jwenfai@gmail.com> * Added support for quarter frequencies when resampling CFTimeIndex. Less redundancy in CFTimeIndex resampling tests. * Removed normalization code (unnecessary for cftime_range) in cftime_offsets.py. Removed redundant lines in whats-new.rst. * Removed invalid option from _get_day_of_month docstring. Added tests back in that raises ValueError when resampling (base=24 when resampling to daily freq, e.g., '8D'). * Minor edits to docstrings/comments * lint * Add `Dataset.drop_dims` (#2767) * ENH: Add Dataset.drop_dims() * Drops full dimensions and any corresponding variables in a Dataset * Fixes GH1949 * DOC: Add Dataset.drop_dims() documentation * Improve name concat (#2792) * Added tests of desired name inferring behaviour * Infers names * updated what's new * Don't use deprecated np.asscalar() (#2800) It got deprecated in numpy 1.16 and throws a ton of warnings due to that. All the function does is returning .item() anyway, which is why it got deprecated. * Add support for cftime.datetime coordinates with coarsen (#2778) * some docs updates (#2746) * Friendlier io title. * Fix lists. * Fix *args, **kwargs "inline emphasis..." * misc * Reference xarray_extras for csv writing. Closes #2289 * Add metpy accessor. Closes #461 * fix transpose docstring. Closes #2576 * Revert "Fix lists." This reverts commit 39983a5835612d7158ae91a9cce7196a03742983. * Revert "Fix *args, **kwargs" This reverts commit 1b9da35ef43e44ce7855f2ab8406a781c9a68933. * Add MetPy to related projects. * Add Weather and Climate specific page. * Add hvplot. * Note open_dataset, mfdataset open files as read-only (closes #2345). * Update metpy 1 Co-Authored-By: dcherian <dcherian@users.noreply.github.com> * Update doc/weather-climate.rst Co-Authored-By: dcherian <dcherian@users.noreply.github.com> * Drop failing tests writing multi-dimensional arrays as attributes (#2810) These aren't valid for netCDF files. Fixes GH2803 * Push back finalizing deprecations for 0.12 (#2809) 0.12 will already have a big change in dropping Python 2.7 support. I'd rather wait a bit longer to finalize these deprecations to minimize the impact on users. * enable loading remote hdf5 files (#2782) * attempt at loading remote hdf5 * added a couple tests * rewind bytes after reading header * addressed comments for tests and error message * fixed pep8 formatting * created _get_engine_from_magic_number function, new tests * added description in whats-new * fixed test failure on windows * same error on windows and nix * Release 0.12.0 * Add whats-new for 0.12.1 * Rework whats-new for 0.12 * DOC: Update donation links * DOC: remove outdated warning (#2818) * Allow expand_dims() method to support inserting/broadcasting dimensions with size>1 (#2757) * Make using dim_kwargs for python 3.5 illegal -- a ValueError is thrown * dataset.expand_dims() method take dict like object where values represent length of dimensions or coordinates of dimesnsions * dataarray.expand_dims() method take dict like object where values represent length of dimensions or coordinates of dimesnsions * Add alternative option to passing a dict to the dim argument, which is now an optional kwarg, passing in each new dimension as its own kwarg * Add expand_dims enhancement from issue 2710 to whats-new.rst * Fix test_dataarray.TestDataArray.test_expand_dims_with_greater_dim_size tests to pass in python 3.5 using ordered dicts instead of regular dicts. This was needed because python 3.5 and earlier did not maintain insertion order for dicts * Restrict core logic to use 'dim' as a dict--it will be converted into a dict on entry if it is a str or a sequence of str * Don't cast dim values (coords) as a list since IndexVariable/Variable will internally convert it into a numpy.ndarray. So just use IndexVariable((k,), v) * TypeErrors should be raised for invalid input types, rather than ValueErrors. * Force 'dim' to be OrderedDict for python 3.5 * Allow expand_dims() method to support inserting/broadcasting dimensions with size>1 (#2757) * use .size attribute to determine the size of a dimension, rather than converting to a list, which can be slow for large iterables * Make using dim_kwargs for python 3.5 illegal -- a ValueError is thrown * dataset.expand_dims() method take dict like object where values represent length of dimensions or coordinates of dimesnsions * dataarray.expand_dims() method take dict like object where values represent length of dimensions or coordinates of dimesnsions * Add alternative option to passing a dict to the dim argument, which is now an optional kwarg, passing in each new dimension as its own kwarg * Add expand_dims enhancement from issue 2710 to whats-new.rst * Fix test_dataarray.TestDataArray.test_expand_dims_with_greater_dim_size tests to pass in python 3.5 using ordered dicts instead of regular dicts. This was needed because python 3.5 and earlier did not maintain insertion order for dicts * Restrict core logic to use 'dim' as a dict--it will be converted into a dict on entry if it is a str or a sequence of str * Don't cast dim values (coords) as a list since IndexVariable/Variable will internally convert it into a numpy.ndarray. So just use IndexVariable((k,), v) * TypeErrors should be raised for invalid input types, rather than ValueErrors. * Force 'dim' to be OrderedDict for python 3.5 * Allow expand_dims() method to support inserting/broadcasting dimensions with size>1 (#2757) * Move enhancement description up to 0.12.1 * use .size attribute to determine the size of a dimension, rather than converting to a list, which can be slow for large iterables * Make using dim_kwargs for python 3.5 illegal -- a ValueError is thrown * dataset.expand_dims() method take dict like object where values represent length of dimensions or coordinates of dimesnsions * dataarray.expand_dims() method take dict like object where values represent length of dimensions or coordinates of dimesnsions * Add alternative option to passing a dict to the dim argument, which is now an optional kwarg, passing in each new dimension as its own kwarg * Add expand_dims enhancement from issue 2710 to whats-new.rst * Fix test_dataarray.TestDataArray.test_expand_dims_with_greater_dim_size tests to pass in python 3.5 using ordered dicts instead of regular dicts. This was needed because python 3.5 and earlier did not maintain insertion order for dicts * Restrict core logic to use 'dim' as a dict--it will be converted into a dict on entry if it is a str or a sequence of str * Don't cast dim values (coords) as a list since IndexVariable/Variable will internally convert it into a numpy.ndarray. So just use IndexVariable((k,), v) * TypeErrors should be raised for invalid input types, rather than ValueErrors. * Force 'dim' to be OrderedDict for python 3.5 | 2019-03-26T02:41:47Z | 2019-03-26T02:41:47Z | 2bd739a8069ef73eb48e628beae21de3f0e8fd23 | f10b21bed2846b879806f87039b77245b18e7671 | 13221727 | 10720577 | 1217238 |