1 | initial version |

I asked a similar question about using a colormap for implicit_plot3d last December, and it is still open. @schilly *did* show how to use matplotlib colormaps for `plot3d`

though, and it's pretty cool:

```
sage: var('r v')
sage: cmsel = [colormaps['autumn'](i) for i in sxrange(0,1,0.05)]
sage: p = plot3d(0.2*(r**2 + v**2) + cos(2*r)*sin(2*v),(r,-2,2), (v,-2,2), adaptive=True, color=cmsel)
sage: p.show(aspect_ratio=(1,1,1), figsize=[7,3])
```

And, as @Jason Grout said, you can see all of the available colormaps with `colormaps.keys()`

.

If you do figure out some way to use colormaps with *implicit* 3d plots, I would love to hear about it!

2 | No.2 Revision |

I asked a similar question about using a colormap for implicit_plot3d ~~last December, ~~almost a year ago, and it is still open. @schilly *did* show how to use matplotlib colormaps for `plot3d`

though, and it's pretty cool:

```
sage: var('r v')
sage: cmsel = [colormaps['autumn'](i) for i in sxrange(0,1,0.05)]
sage: p = plot3d(0.2*(r**2 + v**2) + cos(2*r)*sin(2*v),(r,-2,2), (v,-2,2), adaptive=True, color=cmsel)
sage: p.show(aspect_ratio=(1,1,1), figsize=[7,3])
```

And, as @Jason Grout said, you can see all of the available colormaps with `colormaps.keys()`

.

If you do figure out some way to use colormaps with *implicit* 3d plots, I would love to hear about it!

3 | No.3 Revision |

I asked a similar question about using a colormap for implicit_plot3d almost a year ago, and it is still open. @schilly *did* show how to use matplotlib colormaps for `plot3d`

though, and it's pretty cool:

```
sage: var('r v')
sage: cmsel = [colormaps['autumn'](i) for i in sxrange(0,1,0.05)]
sage: p = plot3d(0.2*(r**2 + v**2) + cos(2*r)*sin(2*v),(r,-2,2), (v,-2,2), adaptive=True, color=cmsel)
sage: p.show(aspect_ratio=(1,1,1), figsize=[7,3])
```

And, as ~~@Jason Grout ~~@Jason-Grout said, you can see all of the available colormaps with `colormaps.keys()`

.

If you do figure out some way to use colormaps with *implicit* 3d plots, I would love to hear about it!

4 | trying to get usernames right! |

I asked a similar question about using a colormap for implicit_plot3d almost a year ago, and it is still open. @schilly *did* show how to use matplotlib colormaps for `plot3d`

though, and it's pretty cool:

```
sage: var('r v')
sage: cmsel = [colormaps['autumn'](i) for i in sxrange(0,1,0.05)]
sage: p = plot3d(0.2*(r**2 + v**2) + cos(2*r)*sin(2*v),(r,-2,2), (v,-2,2), adaptive=True, color=cmsel)
sage: p.show(aspect_ratio=(1,1,1), figsize=[7,3])
```

And, as ~~@Jason-Grout ~~@jason-grout said, you can see all of the available colormaps with `colormaps.keys()`

.

*implicit* 3d plots, I would love to hear about it!

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