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Release v0.10rc1
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README.rst

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xarray bundles portions of pandas, NumPy and Seaborn, all of which are available
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under a "3-clause BSD" license:
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- pandas: setup.py
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- pandas: setup.py, xarray/util/print_versions.py
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- NumPy: xarray/core/npcompat.py
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- Seaborn: _determine_cmap_params in xarray/core/plot/utils.py
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doc/whats-new.rst

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import xarray as xr
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np.random.seed(123456)
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.. _whats-new.0.9.7:
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.. _whats-new.0.10.0:
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v0.10.0 (unreleased)
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--------------------
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v0.10.0 rc1 (30 October 2017)
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-----------------------------
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.. caution::
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You're reached the documentation for the **pre-release version of xarray.**
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Please test out this release candidate and report any issues on GitHub. If
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all goes well, the final v0.10.0 release will come out in about a week. To
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install, use::
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pip install --pre --upgrade --upgrade-strategy=only-if-needed xarray
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This is a major release that includes bug fixes, new features and a few
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backwards incompatible changes. Highlights include:
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Enhancements
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~~~~~~~~~~~~
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**New functions/methods**:
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**New functions/methods**
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- New helper function :py:func:`~xarray.apply_ufunc` for wrapping functions
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written to work on NumPy arrays to support labels on xarray objects
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(:issue:`1485`).
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By `Joe Hamman <https://github.com/jhamman>`_.
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**Performance improvements**:
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**Performance improvements**
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- :py:func:`~xarray.concat` was computing variables that aren't in memory
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(e.g. dask-based) multiple times; :py:func:`~xarray.open_mfdataset`
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- Speed-up (x 100) of :py:func:`~xarray.conventions.decode_cf_datetime`.
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By `Christian Chwala <https://github.com/cchwala>`_.
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**IO related improvements**:
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**IO related improvements**
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- Unicode strings (``str`` on Python 3) are now round-tripped successfully even
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when written as character arrays (e.g., as netCDF3 files or when using
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- Support reading and writing unlimited dimensions with h5netcdf (:issue:`1636`).
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By `Joe Hamman <https://github.com/jhamman>`_.
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**Other improvements**:
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**Other improvements**
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- Added ``_ipython_key_completions_`` to xarray objects, to enable
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autocompletion for dictionary-like access in IPython, e.g.,
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~~~~~~~~~
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- Suppress ``RuntimeWarning`` issued by ``numpy`` for "invalid value comparisons"
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(e.g. NaNs). Xarray now behaves similarly to Pandas in its treatment of
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binary and unary operations on objects with ``NaN``s (:issue:`1657`).
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(e.g. ``NaN``). Xarray now behaves similarly to Pandas in its treatment of
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binary and unary operations on objects with NaNs (:issue:`1657`).
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By `Joe Hamman <https://github.com/jhamman>`_.
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- Unsigned int support for reduce methods with ``skipna=True``

setup.py

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from setuptools import Command
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MAJOR = 0
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MINOR = 9
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MICRO = 6
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ISRELEASED = False
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MINOR = 10
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MICRO = 0
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ISRELEASED = True
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VERSION = '%d.%d.%d' % (MAJOR, MINOR, MICRO)
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QUALIFIER = ''
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QUALIFIER = 'rc1'
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DISTNAME = 'xarray'

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