[Matplotlib-users] Trying to reproduce plot with a certain colormap
Benjamin Root
ben.v.root at gmail.com
Fri Aug 11 16:50:12 EDT 2017
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.
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.
Ben
On Fri, Aug 11, 2017 at 4:14 PM, vincent.adrien at gmail.com <
vincent.adrien at gmail.com> wrote:
> Thank you Jody, I did not know that CMYK conversion could alter colors
> that much; that is interesting.
>
> 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?
>
> Best,
> Adrien
>
> On 08/11/2017 01:02 PM, Benjamin Root wrote:
>
>> The CMYK converted jet still has a bright yellow in there that is not in
>> the one showed by Kris at all.
>>
>> On Fri, Aug 11, 2017 at 3:53 PM, Jody Klymak <jklymak at uvic.ca <mailto:
>> jklymak at uvic.ca>> wrote:
>>
>> __
>>
>> On 11 Aug 2017, at 12:17, Klymak Jody wrote:
>>
>> This image has pretty clearly been converted to CMYK hence the
>> dullness. Pretty convinced that's what jet looks like after a
>> CMYK conversion.
>>
>> See:
>>
>> https://gist.github.com/jklymak/744db8cc538e5757ecc4eb4977bff3a3
>> <https://gist.github.com/jklymak/744db8cc538e5757ecc4eb4977bff3a3>
>>
>> CMYK conversion was done in Illustrator.
>>
>> You could still argue that matplotlib’s “jet” gets darker at the
>> high reds and low blues, and maybe the cyan is more bright. But you
>> have to be pretty careful w/ CMYK conversions because it depends on
>> the profiles used etc etc. I’d buy the argument that this is a
>> matlab jet versus a matplotlib jet, but I think most of the
>> perceived difference is because a CMYK conversion happened somewhere
>> along the way.
>>
>> Cheers, Jody
>>
>> PS, I note the image /says/ that it is RGB, but then my converted
>> image also says the same thing.
>>
>> Cheers. Jody
>>
>> Sent from my iPhone
>>
>> On Aug 11, 2017, at 11:51, "vincent.adrien at gmail.com
>> <mailto:vincent.adrien at gmail.com>" <vincent.adrien at gmail.com
>>
>> <mailto:vincent.adrien at gmail.com>> wrote:
>>
>> Hi all,
>>
>> I agree with Ben that it does not look like jet to me: the
>> bright light blue seems to be missing. FWIW, "Spectral"
>> (with a capital S) might be the closest colormap among the
>> built-in ones in Matplotlib, but it is still more
>> “pastel-ish” than Kris´ example.
>>
>> Best,
>> Adrien
>>
>> On 08/11/2017 11:43 AM, Benjamin Root wrote:
>> Not jet, it doesn't go through cyan. Looks more like
>> coolwarm, to me, or maybe RdYlGn_r (but the yellow isn't
>> right, either...).
>> I am also not completely convinced it was made in
>> matplotlib. The 3d plot's projection isn't the same as
>> mplot3d's projection.
>> On Fri, Aug 11, 2017 at 2:34 PM, Jody Klymak
>> <jklymak at uvic.ca <mailto:jklymak at uvic.ca>
>> <mailto:jklymak at uvic.ca>> wrote:
>> __
>> Hi Kris,
>> That one is called “jet”, though it looks like she
>> applied a bit of
>> a normalization to it to move the (green) center to
>> lower values…
>> https://matplotlib.org/users/colormapnorms.html
>> <https://matplotlib.org/users/colormapnorms.html>
>> <https://matplotlib.org/users/colormapnorms.html
>> <https://matplotlib.org/users/colormapnorms.html>> (see
>> the last
>> subsection: “Two linear ranges”)
>> Cheers, Jody
>> On 11 Aug 2017, at 11:25, kgb2020 via Matplotlib-users
>> wrote:
>> Hello everybody,
>> I have this figure done by a colleague quite a while ago
>> in
>> matplotlib:
>> https://image.ibb.co/cxGKSF/tst0.png
>> <https://image.ibb.co/cxGKSF/tst0.png>
>> <https://image.ibb.co/cxGKSF/tst0.png
>> <https://image.ibb.co/cxGKSF/tst0.png>>
>> Unfortunately, I no longer have contact with my
>> colleague to ask
>> the particular colormap she used in matplotlib. I have
>> looked
>> through the gallery at
>> https://matplotlib.org/example
>> s/color/colormaps_reference.html
>> <https://matplotlib.org/exampl
>> es/color/colormaps_reference.html>
>> <https://matplotlib.org/exampl
>> es/color/colormaps_reference.html
>> <https://matplotlib.org/exampl
>> es/color/colormaps_reference.html>>
>> but
>> I am unable to find that colormap she used there.
>> Can anybody recognize the colormap she used in that plot?
>> Thank you!
>> Best, Kris
>> Sent with ProtonMail <https://protonmail.com> Secure
>> Email.
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