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| 1 | +.. image:: https://img.shields.io/static/v1.svg?logo=Jupyter&label=Pangeo+Binder&message=GCE+us-central1&color=blue&style=for-the-badge |
| 2 | + :target: https://binder.pangeo.io/v2/gh/xarray-contrib/cf-xarray/master?urlpath=lab |
| 3 | + :alt: Binder |
| 4 | + |
| 5 | +.. image:: https://img.shields.io/github/workflow/status/xarray-contrib/cf-xarray/CI?logo=github&style=for-the-badge |
| 6 | + :target: https://github.com/xarray-contrib/cf-xarray/actions |
| 7 | + :alt: GitHub Workflow CI Status |
| 8 | + |
| 9 | +.. image:: https://img.shields.io/github/workflow/status/xarray-contrib/cf-xarray/code-style?label=Code%20Style&style=for-the-badge |
| 10 | + :target: https://github.com/xarray-contrib/cf-xarray/actions |
| 11 | + :alt: GitHub Workflow Code Style Status |
| 12 | + |
| 13 | +.. image:: https://img.shields.io/codecov/c/github/xarray-contrib/cf-xarray.svg?style=for-the-badge |
| 14 | + :target: https://codecov.io/gh/xarray-contrib/cf-xarray |
| 15 | + :alt: Code Coverage |
| 16 | + |
| 17 | +.. image:: https://img.shields.io/pypi/v/cf-xarray.svg?style=for-the-badge |
| 18 | + :target: https://pypi.org/project/cf-xarray |
| 19 | + :alt: Python Package Index |
| 20 | + |
| 21 | +.. If you want the following badges to be visible, please remove this line, and unindent the lines below |
| 22 | + .. image:: https://img.shields.io/readthedocs/cf-xarray/latest.svg?style=for-the-badge |
| 23 | + :target: https://cf-xarray.readthedocs.io/en/latest/?badge=latest |
| 24 | + :alt: Documentation Status |
| 25 | +
|
| 26 | + .. image:: https://img.shields.io/conda/vn/conda-forge/cf-xarray.svg?style=for-the-badge |
| 27 | + :target: https://anaconda.org/conda-forge/cf-xarray |
| 28 | + :alt: Conda Version |
| 29 | +
|
| 30 | +
|
| 31 | +cf-xarray |
| 32 | +========= |
| 33 | + |
| 34 | +A lightweight convenience wrapper for using CF attributes on xarray objects. Right now all of this works: |
| 35 | + |
| 36 | +.. code-block:: python |
| 37 | +
|
| 38 | + import cf_xarray |
| 39 | + import xarray as xr |
| 40 | +
|
| 41 | + ds = xr.tutorial.load_dataset("air_temperature").isel(time=slice(4)) |
| 42 | +
|
| 43 | + ds.air.cf.var("X") |
| 44 | +
|
| 45 | + ds.air.cf.resample(T="M").var() |
| 46 | +
|
| 47 | + ds.air.cf.groupby("T").var("Y") |
| 48 | +
|
| 49 | + ( |
| 50 | + ds.air |
| 51 | + .cf.isel(T=slice(4)) |
| 52 | + .cf.plot.contourf(x="Y", y="X", col="T", col_wrap=4) |
| 53 | + ) |
| 54 | +
|
| 55 | + ds.air.isel(lat=[0, 1], lon=1).cf.plot.line(x="T", hue="Y") |
| 56 | +
|
| 57 | + ds.air.attrs["cell_measures"] = "area: cell_area" |
| 58 | + ds.coords["cell_area"] = ( |
| 59 | + xr.DataArray(np.cos(ds.cf["latitude"] * np.pi / 180)) |
| 60 | + * xr.ones_like(ds.cf["longitude"]) |
| 61 | + * 105e3 |
| 62 | + * 110e3 |
| 63 | + ) |
| 64 | + ds.air.cf.weighted("area").sum("latitude") |
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