Description
This is a (incomplete) checklist for #5816 to make it easier to find methods that are in need of examples and links to the narrative docs with further information (of course, changes to the docstrings of all other methods / functions part of the public API are also appreciated).
Good examples explicitly construct small xarray objects to make it easier to follow (e.g. use np.{ones,full,zeros}
or the np.array
constructor instead of np.random
/ loading from files) and show both input and output of the function.
Use
pytest --doctest-modules xarray --ignore xarray/tests/
to verify the examples, or push to a PR to have the CI do it for you (note that you will have much quicker feedback locally though).
To easily generate the expected output install pytest-accept
(docs) in your dev environment and then run
pytest --doctest-modules FILE_NAME --accept || true
To link to other documentation pages we can use
:doc:`project:label`
Description of the linked page
where we can leave out project
if we link to somewhere within xarray's documentation. To figure out the label, we can either look at the source, search the output of python -m sphinx.ext.intersphinx https://docs.xarray.dev/en/latest/objects.inv
, or use sphobjinv
(install from PyPI):
sphobjinv search -su https://docs.xarray.dev/en/latest/ missing
Top-level functions:
-
get_options
-
decode_cf
-
polyval
-
unify_chunks
-
infer_freq
-
date_range
I/O:
-
load_dataarray
-
load_dataset
-
open_dataarray
-
open_dataset
-
open_mfdataset
Contents:
-
DataArray.assign_attrs
,Dataset.assign_attrs
-
DataArray.expand_dims
,Dataset.expand_dims
-
DataArray.drop_duplicates
,Dataset.drop_duplicates
-
DataArray.drop_vars
,Dataset.drop_vars
-
Dataset.drop_dims
-
DataArray.convert_calendar
,Dataset.convert_calendar
-
DataArray.set_coords
,Dataset.set_coords
-
DataArray.reset_coords
,Dataset.reset_coords
Comparisons:
-
DataArray.equals
,Dataset.equals
-
DataArray.identical
,Dataset.identical
-
DataArray.broadcast_equals
,Dataset.broadcast_equals
Dask:
-
DataArray.compute
,Dataset.compute
-
DataArray.chunk
,Dataset.chunk
-
DataArray.persist
,Dataset.persist
Missing values:
-
DataArray.bfill
,Dataset.bfill
-
DataArray.ffill
,Dataset.ffill
-
DataArray.fillna
,Dataset.fillna
-
DataArray.dropna
,Dataset.dropna
Indexing:
-
DataArray.loc
(no docstring at all - came up in Why how is [] different from loc[] ? #7528 (comment)) -
DataArray.drop_isel
-
DataArray.drop_sel
-
DataArray.head
,Dataset.head
-
DataArray.tail
,Dataset.tail
-
DataArray.interp_like
,Dataset.interp_like
-
DataArray.reindex_like
,Dataset.reindex_like
-
Dataset.isel
Aggregations:
-
Dataset.argmax
-
Dataset.argmin
-
DataArray.cumsum
,Dataset.cumsum
(intermediate to advanced) -
DataArray.cumprod
,Dataset.cumprod
(intermediate to advanced) -
DataArray.reduce
,Dataset.reduce