<div dir="ltr"><div><div>Yes, there is also still the cyan. I am doubtful that just having a different profile would be enough to change this. I think either RdYlGn_r or coolwarm is a lot closer than jet put through a cmyk conversion. I am going with the philosophy of the simplest model that explains the most amount of the data observed. A cmyk conversion isn't out of the question because many publications do that conversion. But if that was the case, then putting RdYlGn_r or coolwarm through CMYK conversion might actually bring it closer to your example than CMYK converted jet is.<br><br></div>Also, keep in mind, I am still not convinced that this is even matplotlib in origin due to certain features of the 3d plot (I am the maintainer of mplot3d). I don't know if it looks like matlab's version, though, as I don't have experience with it.<br><br></div>Ben<br><br></div><div class="gmail_extra"><br><div class="gmail_quote">On Fri, Aug 11, 2017 at 4:14 PM, <a href="mailto:vincent.adrien@gmail.com">vincent.adrien@gmail.com</a> <span dir="ltr"><<a href="mailto:vincent.adrien@gmail.com" target="_blank">vincent.adrien@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Thank you Jody, I did not know that CMYK conversion could alter colors that much; that is interesting.<br>
<br>
Ben, maybe my cheap screen is tricking me here, but I would have say that what is still missing in the CMYK conversion is the cyan/bright blue part, not the yellow one. Anyway, as Jody wrote, it might just be a matter of CMYK profile, doesn´t it?<br>
<br>
Best,<br>
Adrien<span class=""><br>
<br>
On 08/11/2017 01:02 PM, Benjamin Root wrote:<br>
</span><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><span class="">
The CMYK converted jet still has a bright yellow in there that is not in the one showed by Kris at all.<br>
<br></span>
On Fri, Aug 11, 2017 at 3:53 PM, Jody Klymak <<a href="mailto:jklymak@uvic.ca" target="_blank">jklymak@uvic.ca</a> <mailto:<a href="mailto:jklymak@uvic.ca" target="_blank">jklymak@uvic.ca</a>>> wrote:<br>
<br>
  __<span class=""><br>
<br>
  On 11 Aug 2017, at 12:17, Klymak Jody wrote:<br>
<br>
    This image has pretty clearly been converted to CMYK hence the<br>
    dullness. Pretty convinced that's what jet looks like after a<br>
    CMYK conversion.<br>
<br>
  See:<br>
<br>
  <a href="https://gist.github.com/jklymak/744db8cc538e5757ecc4eb4977bff3a3" rel="noreferrer" target="_blank">https://gist.github.com/jklyma<wbr>k/744db8cc538e5757ecc4eb4977bf<wbr>f3a3</a><br>
  <<a href="https://gist.github.com/jklymak/744db8cc538e5757ecc4eb4977bff3a3" rel="noreferrer" target="_blank">https://gist.github.com/jklym<wbr>ak/744db8cc538e5757ecc4eb4977b<wbr>ff3a3</a>><br>
<br>
  CMYK conversion was done in Illustrator.<br>
<br>
  You could still argue that matplotlib’s “jet†gets darker at the<br>
  high reds and low blues, and maybe the cyan is more bright. But you<br>
  have to be pretty careful w/ CMYK conversions because it depends on<br>
  the profiles used etc etc. I’d buy the argument that this is a<br>
  matlab jet versus a matplotlib jet, but I think most of the<br>
  perceived difference is because a CMYK conversion happened somewhere<br>
  along the way.<br>
<br>
  Cheers, Jody<br>
<br></span>
  PS, I note the image /says/ that it is RGB, but then my converted<span class=""><br>
  image also says the same thing.<br>
<br>
    Cheers. Jody<br>
<br>
    Sent from my iPhone<br>
<br>
      On Aug 11, 2017, at 11:51, "<a href="mailto:vincent.adrien@gmail.com" target="_blank">vincent.adrien@gmail.com</a><br></span>
      <mailto:<a href="mailto:vincent.adrien@gmail.com" target="_blank">vincent.adrien@gmail.c<wbr>om</a>>" <<a href="mailto:vincent.adrien@gmail.com" target="_blank">vincent.adrien@gmail.com</a><div><div class="h5"><br>
      <mailto:<a href="mailto:vincent.adrien@gmail.com" target="_blank">vincent.adrien@gmail.c<wbr>om</a>>> wrote:<br>
<br>
      Hi all,<br>
<br>
      I agree with Ben that it does not look like jet to me: the<br>
      bright light blue seems to be missing. FWIW, "Spectral"<br>
      (with a capital S) might be the closest colormap among the<br>
      built-in ones in Matplotlib, but it is still more<br>
      “pastel-ish†than Kris´ example.<br>
<br>
      Best,<br>
      Adrien<br>
<br>
        On 08/11/2017 11:43 AM, Benjamin Root wrote:<br>
        Not jet, it doesn't go through cyan. Looks more like<br>
        coolwarm, to me, or maybe RdYlGn_r (but the yellow isn't<br>
        right, either...).<br>
        I am also not completely convinced it was made in<br>
        matplotlib. The 3d plot's projection isn't the same as<br>
        mplot3d's projection.<br>
        On Fri, Aug 11, 2017 at 2:34 PM, Jody Klymak<br>
        <<a href="mailto:jklymak@uvic.ca" target="_blank">jklymak@uvic.ca</a> <mailto:<a href="mailto:jklymak@uvic.ca" target="_blank">jklymak@uvic.ca</a>><br>
        <mailto:<a href="mailto:jklymak@uvic.ca" target="_blank">jklymak@uvic.ca</a>>> wrote:<br>
        __<br>
        Hi Kris,<br>
        That one is called “jetâ€, though it looks like she<br>
        applied a bit of<br>
        a normalization to it to move the (green) center to<br>
        lower values…<br>
        <a href="https://matplotlib.org/users/colormapnorms.html" rel="noreferrer" target="_blank">https://matplotlib.org/users/c<wbr>olormapnorms.html</a><br>
        <<a href="https://matplotlib.org/users/colormapnorms.html" rel="noreferrer" target="_blank">https://matplotlib.org/users/<wbr>colormapnorms.html</a>><br>
        <<a href="https://matplotlib.org/users/colormapnorms.html" rel="noreferrer" target="_blank">https://matplotlib.org/users/<wbr>colormapnorms.html</a><br>
        <<a href="https://matplotlib.org/users/colormapnorms.html" rel="noreferrer" target="_blank">https://matplotlib.org/users/<wbr>colormapnorms.html</a>>> (see<br>
        the last<br>
        subsection: “Two linear rangesâ€)<br>
        Cheers, Jody<br>
        On 11 Aug 2017, at 11:25, kgb2020 via Matplotlib-users<br>
        wrote:<br>
        Hello everybody,<br>
        I have this figure done by a colleague quite a while ago in<br>
        matplotlib:<br>
        <a href="https://image.ibb.co/cxGKSF/tst0.png" rel="noreferrer" target="_blank">https://image.ibb.co/cxGKSF/ts<wbr>t0.png</a><br>
        <<a href="https://image.ibb.co/cxGKSF/tst0.png" rel="noreferrer" target="_blank">https://image.ibb.co/cxGKSF/t<wbr>st0.png</a>><br>
        <<a href="https://image.ibb.co/cxGKSF/tst0.png" rel="noreferrer" target="_blank">https://image.ibb.co/cxGKSF/t<wbr>st0.png</a><br>
        <<a href="https://image.ibb.co/cxGKSF/tst0.png" rel="noreferrer" target="_blank">https://image.ibb.co/cxGKSF/t<wbr>st0.png</a>>><br>
        Unfortunately, I no longer have contact with my<br>
        colleague to ask<br>
        the particular colormap she used in matplotlib. I have<br>
        looked<br>
        through the gallery at<br>
        <a href="https://matplotlib.org/examples/color/colormaps_reference.html" rel="noreferrer" target="_blank">https://matplotlib.org/example<wbr>s/color/colormaps_reference.<wbr>html</a><br>
        <<a href="https://matplotlib.org/examples/color/colormaps_reference.html" rel="noreferrer" target="_blank">https://matplotlib.org/exampl<wbr>es/color/colormaps_reference.<wbr>html</a>><br>
        <<a href="https://matplotlib.org/examples/color/colormaps_reference.html" rel="noreferrer" target="_blank">https://matplotlib.org/exampl<wbr>es/color/colormaps_reference.<wbr>html</a><br>
        <<a href="https://matplotlib.org/examples/color/colormaps_reference.html" rel="noreferrer" target="_blank">https://matplotlib.org/exampl<wbr>es/color/colormaps_reference.<wbr>html</a>>><br>
        but<br>
        I am unable to find that colormap she used there.<br>
        Can anybody recognize the colormap she used in that plot?<br>
        Thank you!<br>
        Best, Kris<br>
        Sent with ProtonMail <<a href="https://protonmail.com" rel="noreferrer" target="_blank">https://protonmail.com</a>> Secure Email.<br>
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