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I am currently working to standardize how Jupyter's colors look when printed, starting with Jupyter orange. To do this, I have been measuring CIE-Lab values of previously printed materials, looking at how CMYK values can be calculated from the existing RGB (243,118,38) and hex code (#F37626) values, and purchasing Pantone's Color Bridge reference books to ensure accuracy.
Mathematically, C0 M53 Y85 K3 seems like the best conversion, but @ellisonbg and I have been leaning away from this because it seems a bit light and dull. Adobe products convert Jupyter orange to C0 M67 Y97 K0. The closest Pantone color, 158C, converts to C0 M62 Y95 K0. The Adobe and Pantone colors are very close to each other, and the final decision will probably be in that ballpark. We are waiting to make a final decision until we have the Color Bridge book, and can do some more comparisons on different types of printers.
The text was updated successfully, but these errors were encountered:
I am currently working to standardize how Jupyter's colors look when printed, starting with Jupyter orange. To do this, I have been measuring CIE-Lab values of previously printed materials, looking at how CMYK values can be calculated from the existing RGB (243,118,38) and hex code (#F37626) values, and purchasing Pantone's Color Bridge reference books to ensure accuracy.
Mathematically, C0 M53 Y85 K3 seems like the best conversion, but @ellisonbg and I have been leaning away from this because it seems a bit light and dull. Adobe products convert Jupyter orange to C0 M67 Y97 K0. The closest Pantone color, 158C, converts to C0 M62 Y95 K0. The Adobe and Pantone colors are very close to each other, and the final decision will probably be in that ballpark. We are waiting to make a final decision until we have the Color Bridge book, and can do some more comparisons on different types of printers.
The text was updated successfully, but these errors were encountered: