napari.utils#
Classes
Colormap that relates intensity values to colors. |
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Color cycle with a background value. |
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Colormap using a direct mapping from labels to color using a dict. |
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Display napari screenshot in the jupyter notebook. |
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This class inherits from progress, providing the additional ability to cancel expensive executions. |
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alias of |
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This class inherits from tqdm and provides an interface for progress bars in the napari viewer. |
Functions
- napari.utils.progrange(*args, **kwargs)[source]#
Shorthand for
progress(range(*args), **kwargs)
.Adds tqdm based progress bar to napari viewer, if it exists, and returns the wrapped range object.
- Returns:
wrapped range object
- Return type:
- napari.utils.resize_dask_cache(nbytes: int | None = None, mem_fraction: float | None = None) Cache [source]#
Create or resize the dask cache used for opportunistic caching.
The cache object is an instance of a
Cache
, (which wraps acachey.Cache
).See Dask opportunistic caching
- Parameters:
nbytes (int, optional) – The desired size of the cache, in bytes. If
None
, the cache size will autodetermined as fraction of the total memory in the system, usingmem_fraction
. Ifnbytes
is 0. The cache is turned off. by default, cache size is autodetermined usingmem_fraction
.mem_fraction (float, optional) – The fraction (from 0 to 1) of total memory to use for the dask cache.
- Returns:
dask_cache – An instance of a Dask Cache
- Return type:
dask.cache.Cache
Examples
>>> from napari.utils import resize_dask_cache >>> cache = resize_dask_cache() # use 25% of total memory by default
>>> # dask.Cache wraps cachey.Cache >>> assert isinstance(cache.cache, cachey.Cache)
>>> # useful attributes >>> cache.cache.available_bytes # full size of cache >>> cache.cache.total_bytes # currently used bytes