From ad3464701a4fdebb52901ba985a6403d7c36e299 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Johannes=20Sch=C3=B6nberger?= Date: Sat, 9 Nov 2013 23:13:43 +0100 Subject: [PATCH] Fix doc string syntax errors --- skimage/exposure/exposure.py | 3 ++- skimage/filter/lpi_filter.py | 6 +++--- 2 files changed, 5 insertions(+), 4 deletions(-) diff --git a/skimage/exposure/exposure.py b/skimage/exposure/exposure.py index 2b17fd1a..f703f846 100644 --- a/skimage/exposure/exposure.py +++ b/skimage/exposure/exposure.py @@ -339,7 +339,8 @@ def adjust_sigmoid(image, cutoff=0.5, gain=10, inv=False): References ---------- .. [1] Gustav J. Braun, "Image Lightness Rescaling Using Sigmoidal Contrast - Enhancement Functions" http://www.cis.rit.edu/fairchild/PDFs/PAP07.pdf + Enhancement Functions", + http://www.cis.rit.edu/fairchild/PDFs/PAP07.pdf """ _assert_non_negative(image) diff --git a/skimage/filter/lpi_filter.py b/skimage/filter/lpi_filter.py index 5b5705f2..f8d08f34 100644 --- a/skimage/filter/lpi_filter.py +++ b/skimage/filter/lpi_filter.py @@ -62,12 +62,12 @@ class LPIFilter2D(object): >>> filter_params = {'kw1': 1, 'kw2': 2, 'kw3': 3} >>> impulse_response(r, c, **filter_params) + Examples -------- - Gaussian filter: - Use a 1-D gaussian in each direction without normalization - coefficients. + Gaussian filter: Use a 1-D gaussian in each direction without + normalization coefficients. >>> def filt_func(r, c, sigma = 1): ... return np.exp(-np.hypot(r, c)/sigma) >>> filter = LPIFilter2D(filt_func)