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Rename ar_relabeled to relabeled for simplicity

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This commit is contained in:
Juan Nunez-Iglesias
2012-12-12 14:31:05 +11:00
parent c5e047ff0e
commit e3951a2a78
1 changed files with 5 additions and 5 deletions
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skimage/segmentation/_join.py
+5 -5
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@@ -54,7 +54,7 @@ def relabel_from_one(ar):
Returns
-------
ar_relabeled : numpy array of same shape as ar
relabeled : numpy array of same shape as ar
forward_map : 1d numpy array of length np.unique(ar) + 1
inverse_map : 1d numpy array of length len(np.unique(ar))
The length is len(np.unique(ar)) + 1 if 0 is not in np.unique(ar)
@@ -64,8 +64,8 @@ def relabel_from_one(ar):
>>> import numpy as np
>>> from skimage.segmentation import relabel_from_one
>>> ar = array([1, 1, 5, 5, 8, 99, 42])
>>> ar_relab, fw, inv = relabel_from_one(ar)
>>> ar_relab
>>> relab, fw, inv = relabel_from_one(ar)
>>> relab
array([1, 1, 2, 2, 3, 5, 4])
>>> fw
array([0, 1, 0, 0, 0, 2, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
@@ -75,9 +75,9 @@ def relabel_from_one(ar):
0, 0, 0, 0, 0, 0, 0, 5])
>>> inv
array([ 0, 1, 5, 8, 42, 99])
>>> (fw[ar] == ar_relab).all()
>>> (fw[ar] == relab).all()
True
>>> (inv[ar_relab] == ar).all()
>>> (inv[relab] == ar).all()
True
"""
labels = np.unique(ar)