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Merge pull request #1960 from sdsingh/profile_line
Update docstring for profile_line
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@@ -15,7 +15,8 @@ def profile_line(img, src, dst, linewidth=1,
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src : 2-tuple of numeric scalar (float or int)
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src : 2-tuple of numeric scalar (float or int)
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The start point of the scan line.
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The start point of the scan line.
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dst : 2-tuple of numeric scalar (float or int)
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dst : 2-tuple of numeric scalar (float or int)
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The end point of the scan line.
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The end point of the scan line. The destination point is *included*
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in the profile, in constrast to standard numpy indexing.
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linewidth : int, optional
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linewidth : int, optional
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Width of the scan, perpendicular to the line
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Width of the scan, perpendicular to the line
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order : int in {0, 1, 2, 3, 4, 5}, optional
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order : int in {0, 1, 2, 3, 4, 5}, optional
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@@ -44,11 +45,16 @@ def profile_line(img, src, dst, linewidth=1,
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[0, 0, 0, 0, 0, 0]])
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[0, 0, 0, 0, 0, 0]])
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>>> profile_line(img, (2, 1), (2, 4))
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>>> profile_line(img, (2, 1), (2, 4))
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array([ 1., 1., 2., 2.])
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array([ 1., 1., 2., 2.])
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>>> profile_line(img, (1, 0), (1, 6), cval=4)
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array([ 1., 1., 1., 2., 2., 2., 4.])
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Notes
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-----
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The destination point is included in the profile, in contrast to
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The destination point is included in the profile, in contrast to
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standard numpy indexing.
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standard numpy indexing.
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For example:
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>>> profile_line(img, (1, 0), (1, 6)) # The final point is out of bounds
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array([ 1., 1., 1., 2., 2., 2., 0.])
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>>> profile_line(img, (1, 0), (1, 5)) # This accesses the full first row
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array([ 1., 1., 1., 2., 2., 2.])
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"""
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"""
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perp_lines = _line_profile_coordinates(src, dst, linewidth=linewidth)
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perp_lines = _line_profile_coordinates(src, dst, linewidth=linewidth)
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if img.ndim == 3:
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if img.ndim == 3:
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