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anandvgeorge avatar anandvgeorge commented on August 16, 2024 8

Hey! I think this issue happens because of the colour settings given in ax.plot(). Currently, for the multiple algorithms option, the colours are chosen based on the colour palette defined. They are defined in a list as rgb values. When I change that to any other definition, the issue goes. So, I have changed the definition of palette as below.

PALLETE = ["#c96840","#8675ca","#9b9d3f","#c9578c","#50ac72"]

I get below plot now.

image

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JunsukLee avatar JunsukLee commented on August 16, 2024 2

I have the same problem. Why is that?

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fallow24 avatar fallow24 commented on August 16, 2024 1

Hey! I think this issue happens because of the colour settings given in ax.plot(). Currently, for the multiple algorithms option, the colours are chosen based on the colour palette defined. They are defined in a list as rgb values. When I change that to any other definition, the issue goes. So, I have changed the definition of palette as below.

PALLETE = ["#c96840","#8675ca","#9b9d3f","#c9578c","#50ac72"]

I get below plot now.

image

Nice workaround. Thanks so much!!

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anandvgeorge avatar anandvgeorge commented on August 16, 2024

Hey! Do anyone know what are those points or how to remove them?

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calmelo avatar calmelo commented on August 16, 2024

Hey! I think this issue happens because of the colour settings given in ax.plot(). Currently, for the multiple algorithms option, the colours are chosen based on the colour palette defined. They are defined in a list as rgb values. When I change that to any other definition, the issue goes. So, I have changed the definition of palette as below.

PALLETE = ["#c96840","#8675ca","#9b9d3f","#c9578c","#50ac72"]

I get below plot now.

image

Why is it useful?

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whw-create avatar whw-create commented on August 16, 2024

amazing,do you know the reason of this problem?

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