From afeb65185460f483f6e667791ee6b6051ca8617d Mon Sep 17 00:00:00 2001 From: banesullivan Date: Tue, 17 Dec 2019 14:25:27 -0500 Subject: [PATCH] Fix broken links --- examples/02-plot/cmap.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/examples/02-plot/cmap.py b/examples/02-plot/cmap.py index 1daf8ad440..5b60570d3e 100644 --- a/examples/02-plot/cmap.py +++ b/examples/02-plot/cmap.py @@ -22,7 +22,7 @@ # `Colorcet's complete list`_, and `cmocean's complete list`_. # # .. _Matplotlib's complete list of available colormaps: https://matplotlib.org/tutorials/colors/colormaps.html -# .. _Colorcet's complete list: https://colorcet.pyviz.org/user_guide/index.html +# .. _Colorcet's complete list: https://colorcet.holoviz.org/user_guide/index.html # .. _cmocean's complete list: https://matplotlib.org/cmocean/ ############################################################################### @@ -93,7 +93,7 @@ # Let's compare Colorcet's perceptually uniform "fire" colormap to Matplotlib's # "hot" colormap much like the example on the `first page of Colorcet's docs`_. # -# .. _first page of Colorcet's docs: https://colorcet.pyviz.org/index.html +# .. _first page of Colorcet's docs: https://colorcet.holoviz.org/index.html # # The "hot" version washes out detail at the high end, as if the image is # overexposed, while "fire" makes detail visible throughout the data range.