extract(condition, arr)
This docstring was copied from numpy.extract.
Some inconsistencies with the Dask version may exist.
This is equivalent to np.compress(ravel(condition), ravel(arr))
. If :None:None:`condition` is boolean np.extract
is equivalent to arr[condition]
.
Note that :None:None:`place` does the exact opposite of extract
.
An array whose nonzero or True entries indicate the elements of :None:None:`arr` to extract.
Input array of the same size as :None:None:`condition`.
Rank 1 array of values from :None:None:`arr` where :None:None:`condition` is True.
Return the elements of an array that satisfy some condition.
>>> arr = np.arange(12).reshape((3, 4)) # doctest: +SKIPThis example is valid syntax, but we were not able to check execution
... arr # doctest: +SKIP array([[ 0, 1, 2, 3], [ 4, 5, 6, 7], [ 8, 9, 10, 11]])
>>> condition = np.mod(arr, 3)==0 # doctest: +SKIPThis example is valid syntax, but we were not able to check execution
... condition # doctest: +SKIP array([[ True, False, False, True], [False, False, True, False], [False, True, False, False]])
>>> np.extract(condition, arr) # doctest: +SKIP array([0, 3, 6, 9])
If :None:None:`condition` is boolean:
>>> arr[condition] # doctest: +SKIP array([0, 3, 6, 9])See :
The following pages refer to to this document either explicitly or contain code examples using this.
dask.array.routines.extract
dask.array.routines.compress
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