Set options for xarray in a controlled context.
arithmetic_join ({"inner", "outer", "left", "right", "exact"}, default: "inner") – DataArray/Dataset alignment in binary operations:
“outer”: use the union of object indexes
“inner”: use the intersection of object indexes
“left”: use indexes from the first object with each dimension
“right”: use indexes from the last object with each dimension
“exact”: instead of aligning, raise ValueError when indexes to be aligned are not equal
“override”: if indexes are of same size, rewrite indexes to be those of the first object with that dimension. Indexes for the same dimension must have the same size in all objects.
chunk_manager (str, default: "dask") – Chunk manager to use for chunked array computations when multiple options are installed.
cmap_divergent (str or matplotlib.colors.Colormap, default: "RdBu_r") – Colormap to use for divergent data plots. If string, must be matplotlib built-in colormap. Can also be a Colormap object (e.g. mpl.colormaps[“magma”])
cmap_sequential (str or matplotlib.colors.Colormap, default: "viridis") – Colormap to use for nondivergent data plots. If string, must be matplotlib built-in colormap. Can also be a Colormap object (e.g. mpl.colormaps[“magma”])
display_expand_attrs ({"default", True, False}) – Whether to expand the attributes section for display of DataArray or Dataset objects. Can be
True : to always expand attrs
False : to always collapse attrs
default : to expand unless over a pre-defined limit
display_expand_coords ({"default", True, False}) – Whether to expand the coordinates section for display of DataArray or Dataset objects. Can be
True : to always expand coordinates
False : to always collapse coordinates
default : to expand unless over a pre-defined limit
display_expand_data ({"default", True, False}) – Whether to expand the data section for display of DataArray objects. Can be
True : to always expand data
False : to always collapse data
default : to expand unless over a pre-defined limit
display_expand_data_vars ({"default", True, False}) – Whether to expand the data variables section for display of Dataset objects. Can be
True : to always expand data variables
False : to always collapse data variables
default : to expand unless over a pre-defined limit
display_expand_indexes ({"default", True, False}) – Whether to expand the indexes section for display of DataArray or Dataset. Can be
True : to always expand indexes
False : to always collapse indexes
default : to expand unless over a pre-defined limit (always collapse for html style)
display_max_children (int, default: 6) – Maximum number of children to display for each node in a DataTree.
display_max_rows (int, default: 12) – Maximum display rows.
display_values_threshold (int, default: 200) – Total number of array elements which trigger summarization rather than full repr for variable data views (numpy arrays).
display_style ({"text", "html"}, default: "html") – Display style to use in jupyter for xarray objects.
display_width (int, default: 80) – Maximum display width for repr on xarray objects.
file_cache_maxsize (int, default: 128) – Maximum number of open files to hold in xarray’s global least-recently-usage cached. This should be smaller than your system’s per-process file descriptor limit, e.g., ulimit -n on Linux.
keep_attrs ({"default", True, False}) – Whether to keep attributes on xarray Datasets/dataarrays after operations. Can be
True : to always keep attrs
False : to always discard attrs
default : to use original logic that attrs should only be kept in unambiguous circumstances
use_bottleneck (bool, default: True) – Whether to use bottleneck to accelerate 1D reductions and 1D rolling reduction operations.
use_flox (bool, default: True) – Whether to use numpy_groupies and flox` to accelerate groupby and resampling reductions.
use_new_combine_kwarg_defaults (bool, default False) – Whether to use new kwarg default values for combine functions: concat(), merge(), open_mfdataset(). New values are:
data_vars: None
coords: “minimal”
compat: “override”
join: “exact”
use_numbagg (bool, default: True) – Whether to use numbagg to accelerate reductions. Takes precedence over use_bottleneck when both are True.
use_opt_einsum (bool, default: True) – Whether to use opt_einsum to accelerate dot products.
warn_for_unclosed_files (bool, default: False) – Whether or not to issue a warning when unclosed files are deallocated. This is mostly useful for debugging.
Examples
It is possible to use set_options either as a context manager:
>>> ds = xr.Dataset({"x": np.arange(1000)})
>>> with xr.set_options(display_width=40):
... print(ds)
...
<xarray.Dataset> Size: 8kB
Dimensions: (x: 1000)
Coordinates:
* x (x) int64 8kB 0 1 ... 999
Data variables:
*empty*
Or to set global options:
>>> xr.set_options(display_width=80) <xarray.core.options.set_options object at 0x...>
Methods
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