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slightly exaggerated PyPlot example in the manual #719
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Also, a lot of the complexity here is simply that Matplotlib has different defaults than Plots. If you are willing to accept more of Matplotlib's defaults (since you were willing to accept Plots' defaults), you can do:
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(Plots is a great package, but I don't think the current comparison to PyPlot is informative.) |
I'll merge a PR which changes this
…On Mon, Mar 6, 2017 at 2:31 PM, Steven G. Johnson ***@***.***> wrote:
(Plots is a great package, but I don't think the current comparison to
PyPlot is informative.)
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<#719 (comment)>,
or mute the thread
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And to be clear... that specific section was to be explicit about what is
happening "inside" Plots, in that it's not "just calling PyPlot's plot
method". It was not meant to be "look at how much better Plots is". So
accepting PyPlot's defaults would be completely against the intention of
the section.
…On Mon, Mar 6, 2017 at 3:10 PM, Tom Breloff ***@***.***> wrote:
I'll merge a PR which changes this
On Mon, Mar 6, 2017 at 2:31 PM, Steven G. Johnson <
***@***.***> wrote:
> (Plots is a great package, but I don't think the current comparison to
> PyPlot is informative.)
>
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> You are receiving this because you are subscribed to this thread.
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> <#719 (comment)>,
> or mute the thread
> <https://github.com/notifications/unsubscribe-auth/AA492lh7BilwHKEu7RjGMq8kppPP_a0Kks5rjF79gaJpZM4MUlPh>
> .
>
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Fair enough, thanks! |
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The PyPlot [example in the manual](https://juliaplots.github.io/pipeline/ seems a lot more complicated than necessary. The simplest analogue of the
using Plots; plot(...)
example in the manual would beThe text was updated successfully, but these errors were encountered: