> On 2 Apr 2015, at 9:50 AM, Benjamin Root <ben.r...@ou.edu> wrote:
>
> No, that's not what he is asking for. John wants the norm to go from -1 to 4,
> but he wants the colorbar to display only the 0 to 4 portion. Your approach
> (setting vmin=0) would change the normalization and change the colors.
Hmm, well his values go from 0 to 4, and he wants his colorbar to go from 0 to
4, but just over the last 4/5ths of the colormap. I think I gave him what he
wants. But I guess he can decide!
Cheers, Jody
> The axes limits do not appear to be scaled by the values. They are set to (0,
> 1). So, the kludgy way would seem to be to set the xlimits to be (0.2, 1)
> (taking out a fifth of the colorbar, but the frame is still there...
>
> Ben Root
>
> On Thu, Apr 2, 2015 at 12:32 PM, Jody Klymak <jkly...@uvic.ca
> <mailto:jkly...@uvic.ca>> wrote:
> Hi John,
>
> I got this off stack exchange, apologies to the original contributor...
>
> Cheers, Jody
>
>
> import numpy as np
> import matplotlib.pyplot as plt
> from matplotlib.colors import LinearSegmentedColormap
>
> x = np.arange(100)
> y = np.random.rand(100)
> z = 4 * np.random.rand(100)
>
> cmap = plt.get_cmap('rainbow_r’)
> start=0.2
> stop = 1.
> colors = cmap(np.linspace(start, stop, cmap.N))
> # Create a new colormap from those colors
> color_map = LinearSegmentedColormap.from_list('Upper Half', colors)
>
> fig = plt.figure(figsize=(12,9))
> ax1 = plt.subplot(111)
> sc = ax1.scatter(x, y, c=z, s=50, cmap=color_map, vmin=0, vmax=4)
>
> position=fig.add_axes([0.37, 0.16, 0.5, 0.02])
> cb = fig.colorbar(sc, cax=position, orientation='horizontal', drawedges=False)
> cb.set_label('Z-Colors', fontsize=14)
>
> # I tried this after talking with Ben Root, but it
> # results in some odd behavior
> # cb.ax.set_xlim(0,4)
>
> plt.show()
>
>
>
>> On 2 Apr 2015, at 5:47 AM, John Leeman <kd5...@gmail.com
>> <mailto:kd5...@gmail.com>> wrote:
>>
>> Hi all,
>>
>> I’m plotting some scatter points colored by a third variable, but want to
>> use a limited subset of a colormap. In the example below, the color axis
>> data ranges from 0-4, but I want to not use the red portion of the bar.
>> Doing the first part is just accomplished by setting the vmin/vmax. But when
>> I plot a color bar I don’t want to show the colors and values for anything
>> below zero. Other than just white-boxing that part of the bar I’m not sure
>> how to do it. I tried a suggestion of setting the limit properties of the
>> bar axis attribute, but that results in the bar getting shrunk and shifted
>> (a very weird behavior). Any ideas?
>>
>> Thank you,
>>
>> John Leeman
>>
>> import numpy as np
>> import matplotlib.pyplot as plt
>>
>> x = np.arange(100)
>> y = np.random.rand(100)
>> z = 4 * np.random.rand(100)
>>
>> color_map = plt.get_cmap('rainbow_r')
>>
>> fig = plt.figure(figsize=(12,9))
>> ax1 = plt.subplot(111)
>> sc = ax1.scatter(x, y, c=z, s=50, cmap=color_map, vmin=-1, vmax=4)
>>
>> position=fig.add_axes([0.37, 0.16, 0.5, 0.02])
>> cb = fig.colorbar(sc, cax=position, orientation='horizontal',
>> drawedges=False)
>> cb.set_label('Z-Colors’, fontsize=14)
>>
>> # I tried this after talking with Ben Root, but it
>> # results in some odd behavior
>> # cb.ax.set_xlim(0,4)
>>
>> plt.show()
>> <Color_Bar.png>
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>
> --
> Jody Klymak
> http://web.uvic.ca/~jklymak/ <http://web.uvic.ca/~jklymak/>
>
>
>
>
>
>
> ------------------------------------------------------------------------------
> Dive into the World of Parallel Programming The Go Parallel Website, sponsored
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> things parallel software development, from weekly thought leadership blogs to
> news, videos, case studies, tutorials and more. Take a look and join the
> conversation now. http://goparallel.sourceforge.net/
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--
Jody Klymak
http://web.uvic.ca/~jklymak/
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news, videos, case studies, tutorials and more. Take a look and join the
conversation now. http://goparallel.sourceforge.net/
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